DEV Community: Brian Christner

Excel: The Best and Worst Tool in Your Tech Stack

Brian Christner — Thu, 02 Oct 2025 08:00:38 +0000

If Excel had a relationship status, it would be “It’s complicated.”

It’s the first tool we reach for when something breaks.

It’s also the reason we often can’t figure out what broke in the first place.

Let’s be honest:

Excel is both a genius and a menace.

The Good: Excel is a Swiss Army Knife

You need a report fast? Excel.

Marketing wants a custom dashboard? Excel.

Finance lost access to their BI tool? Excel.

Compliance needs to review a suspicious spike in data? You guessed it, Excel.

Excel is everywhere because it’s accessible, flexible, and familiar. It doesn’t require onboarding. It doesn’t care about your tech stack. It works offline, online, and under pressure.

In fact, Excel is often the escape hatch for broken systems. When a workflow fails, people default to “just throw it in Excel” to keep things moving. And hey...it works.

Until it doesn’t.

The Bad: A Million Versions of the Truth

Here’s the flip side: Excel is the most effective way to break process control, create version hell, and destroy reproducibility.

Everyone creates their own Excel sheet
No one uses the same formulas
Files get copied, renamed, and emailed with titles like FINAL_FINAL_v2_Marketing_Approved.xlsx.
Business logic gets buried in cell references like =IF(D2>1000, “VIP”, “REG”)
And don’t get me started on macros or VBA scripts written in 2007 that still power core workflows...

Excel naming Final Final

Worst of all? There’s no version control, no audit trail, and zero scalability. What starts as a quick fix quietly turns into a production dependency. This really bothers me when I cannot version control and reproduce workflows.

Excel has become the duct tape of the business world, holding things together just long enough for someone to forget it’s duct tape.

Why Replacing Excel is So Damn Hard

Every company has tried to “replace Excel” at some point.

The result? Internal tools that try to replicate Excel’s flexibility… and fail. Platforms that are “Excel compatible” but can’t handle edge cases. Or enterprise systems so rigid that users continue to export data to Excel anyway.

Here’s the thing: Excel works because it’s frictionless. Anyone can open it, enter data, and get results in seconds. No API key. No ticket to IT. No waiting.

If you want to replace Excel, your tool has to be just as:

Fast
Flexible
Familiar

That’s a high bar. Most tools don’t clear it, which is why Excel isn’t going away anytime soon.

What’s the Path Forward?

So what do we do? Ban Excel?

No chance. That’s like banning coffee in an office. You’ll spark a mutiny. This is especially true for me. (Coffee machine breaks, Houston we have a problem).

Instead, we need to be realistic and strategic:

Define when Excel is appropriate: Quick analysis? Prototyping? One-off reports? Sure.Core data pipelines or regulatory reports? Not unless you like audits.
Introduce lightweight alternatives: Tools like Notion databases, Airtable, or even collaborative dashboards in Looker/Power BI can help alleviate some of Excel’s weight.
Educate and document: If people must use Excel, encourage them to document their logic, version files properly, and avoid complex VBA unless they plan to support it long-term.
Standardize what matters: Create templates for recurring reports. Use shared formulas. Limit local copies. Make collaboration safer and more consistent.
Store centrally: Instead of the dreaded email with final_final written on it. Store Excel on a central storage like Google Drive or OneDrive, allowing everyone to collaborate on the same Excel, preventing versioning hell or having to merge changes.

EXCEL Final Thoughts

Excel isn’t the villain. It’s just the tool we turn into one.

It’s powerful, fast, and universal—but that doesn’t mean it should be the backbone of your business.

Use it where it shines. Replace it where it breaks things. And always...always...know where your FINAL_FINAL_v2 actually lives.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

Why Your Company Needs a Chief Failure Officer

Brian Christner — Wed, 01 Oct 2025 19:07:21 +0000

The windshield is larger than the rearview mirror for a reason.

Yet, most businesses operate as if the rearview mirror is their primary display. Post-mortems, endless retrospectives, dissecting what went wrong long after the moment passed. But what if we stopped obsessing over what just happened and started accelerating what happens next?

The Problem with Failing Fast (and Stopping There)

“Fail fast”is startup gospel. But what’s often forgotten is the follow-through: fail often. One fast failure teaches very little. Frequent, intentional iteration? That’s where the gold is.

As Steven Bartlett put it, the goal isn’t simply to fall on your face; it’s to keep moving, adapting, and shipping faster than everyone else. It’s about learning velocity.

In short: don’t just fail fast, fail forward, continuously.

Enter the Chief Failure Officer (CFO)

Let’s get bold. Imagine appointing a Chief Failure Officer.

Their mission:

Normalize smart risks
Build repeatable learning loops
Encourage faster releases
Celebrate useful failure

This isn’t a vanity title. It’s a cultural shift. A CFO wouldn’t reward chaos; they’d reward teams that are learning faster than the market.

Think of it this way: if your competitors are shipping once a quarter and you’re running weekly experiments, you’re not playing the same game; they’re still drawing up strategy while you’re already on the field.

The Failing-More Playbook

And why it’s all about taking more shots on goal

Success isn’t about crafting the perfect play. It’s about taking more shots. In product development, marketing, sales—whatever your team is building—the winners are those who iterate the fastest and shoot the most.

Here’s how to operationalize this mindset:

Default to Experiments: Don’t debate in circles—reality test. Every idea gets an experiment baked in from the start.
Track Iteration Rate: How many shots are we taking? How often are we launching, testing, and tweaking? Track learning, not just outcomes.
Remove Ego from Outcomes: A missed shot is still forward motion. Celebrate bold attempts, not just wins.
Celebrate Recovery Speed: How fast can we adjust and retake the shot? Recovery time is a core KPI.
Make Failure Visible: Create internal dashboards or Slack/Teams channels that showcase experiments, learnings, and even failures. Visibility removes shame and increases confidence.

The goal is not to always score. The goal is to keep shooting until the scoreboard moves. The more shots you take, the more data you gather and the closer you get to product-market fit, campaign resonance, or breakthrough innovation.

Photo by Andy Hall / Unsplash

Why the Windshield Matters More

Too many companies fixate on perfecting the past. But growth is a forward sport. The windshield? It’s where the action is.

Let’s stop obsessing over what went wrong and start optimizing for what’s next. Organizations that win in the long term aren’t perfect. They’re prolific. They get more shots on goal because they’ve built the habit of trying more, faster.

Final Thought

We live in a world that rewards momentum, not caution.

Perhaps it’s time to create a role or mindset that embodies that. Someone who ensures your team ships, learns, and grows faster than the market.

Call it a Chief Failure Officer. Call it a mindset shift. Either way, put your foot on the gas, and keep shooting.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

Ikigai Explained: How Purpose Leads to a Longer, Happier Life

Brian Christner — Tue, 23 Sep 2025 08:19:51 +0000

Why Ikigai is Everywhere

In a world obsessed with productivity hacks, Ikigai feels refreshingly timeless. My wife was gifted a book on Ikigai, but I took it instead since it piqued my interest.

I was pleasantly surprised to learn that Ikigai is the Japanese concept of “reason for being". It turns out that in Okinawa, Japan, there are entire towns dedicated to living the Ikigai way. Okinawan elders, who regularly live past 100, attribute their longevity to a lifestyle centered on four key pillars: diet, exercise, purpose, and strong social ties.

What suprised me most is Ikigai is not a rigid framework but rather a compass on how to live a full healthy life.

What Ikigai Really Means

Ikigai sits at the intersection of four overlapping circles. Each circle represents a dimension of life we’re all trying to balance:

What you love
- The passions that light you up. This could be anything, but what is essential is that it is what ignites a fire inside you.
- These are the activities that make time disappear—whether it’s coding, cycling, painting, or building businesses. I would expand this to an activity that enables you to enter a state of flow.
- Without this circle, life becomes mechanical and joyless.
What you’re good at
- Your skills, strengths, and talents. (This typically aligns with what you love)
- This doesn’t just mean “natural gifts”—it also includes things you’ve trained hard to master. For me, this is coding and writing.
- When you ignore this circle, you risk chasing passions without the competence to make them sustainable.
What the world needs
- The problems worth solving, the gaps worth filling.
- It pushes you beyond self-interest, grounding your work in service and meaning.
- Without this circle, purpose becomes self-indulgence.
What you can be paid for
- The practical side: economic value.
- This isn’t just about a paycheck—it’s about finding ways to sustain your lifestyle and keep doing what matters to you.
- Ignoring this circle can leave you passionate but broke.

At the center, where all four circles overlap, is Ikigai —a sweet spot where passion, mission, vocation, and profession align. Ikigai is a compass for making choices that bring both joy and resilience. The true meaning of Ikigai is different for everyone, but the principles are the same.

When you find your Ikigai, longevity typically follows. The book's authors actually visited a couple of towns where it has the most 100-year-olds in the world, and not surprisingly, they are all very active, dancing, and really engaged in their communities.

Now, compare this to non-Ikigai lifestyles (Western Culture), where community takes a backseat, sitting replaces movement, and many never uncover their passion. It is easy to see where we can make improvements in our lifestyles.

We all have an Ikigai, but most probably don't know it or have identified it yet.

Principles of Living with Ikigai

Keep Moving

Staying active is tied to vitality (Japanese proverb). Actually, Ikigai insists that you never stop working or moving. Several times, the book interviewed 100-year-olds, and they swore that "working" was their key to staying busy and healthy. Now, working is not just the 9-to-5; it can be anything from helping in the community to working in your garden. What is essential is to stay active and engaged. Ikigai says once you stop, this is when your health and mental state deteriorate.

Choose Compass over Map

Life happens, so we need to remain flexible, which reduces stress if something doesn't work out. Adaptability beats rigid planning.

Flow Over Goals

Rituals and flow states create happiness. It is not the outcome that is important, but being able to get into a state of mental flow that calms the body and mind.

Protect Your Focus

Multitasking Undermines Performance. We can never enter a state of flow if we are constantly interrupted. So, find the best environment, time, and space that rewards you with protected focus.

Live in the Now

Resilience through presence.

"The past is gone, the future is uncertain—the present is all we control" - Buddhist and Stoic wisdom.

Ikigai in Practice

It’s one thing to understand Ikigai as a concept, but the real value comes when you apply it to daily life. You don’t need to overhaul your career or move to Okinawa. Small, consistent actions aligned with the four circles are enough to shift the needle.

1. Build Rituals, Not Just Goals

Instead of chasing lofty goals(think New Year's resolutions), design daily habitsthat bring you into flow. For example, write for 30 minutes every morning, cycle a set route after work, or dedicate time to learning a new skill. These rituals stack up to something far bigger than short-term goals. The ritual should be easy enough to incorporate into your daily routine without being too challenging to form a habit.

2. Protect Your Focus

Modern life rewards busyness, but multitasking dilutes energy and actually impairs your memory and productivity. Create space for deep work: one task, one flow state. This not only boosts productivity but also connects you to the satisfaction of being fully absorbed in the present. Find your Flow, make space for yourself. Distraction Free Flow...

3. Invest in Relationships

Ikigai isn’t a solo sport. Surround yourself with people who challenge, support, and inspire you. Schedule dinners, join communities, or strengthen ties with family and friends. Social bonds are one of the strongest predictors of longevity.

4. Redefine Success

Ikigai reframes success as progress in the present, not a trophy at the finish line. It’s about asking: Did I spend today doing something meaningful, with people I care about? That answer matters more than quarterly results, likes, or follower counts.

5. Start Small, Start Now

You don’t have to find your perfect overlap immediately. Experiment. Test hobbies, side projects, or skills that interest you. Over time, the four circles begin to align naturally.

What’s one ritual you could add tomorrow that brings you into flow?

My Ikigai Reflections

Personally, I have a lot of different hobbies. However, I need to carve out more time for myself to focus on one thing and get into my flow. I can find my flow state with writing, coding, or cycling. What I need to ensure is to remove distractions, which means timeboxing my flow and eliminating all distractions.

For me, this is a big challenge as I have a lot going on, as do most of us. But, I'm going to be more diligent on carving out 30 minutes to 1 hour per day for my Ikigai flow state.

Next is community. Yeah, I need to get a bit more involved in my local community here in Switzerland. A recent trip back to Arizona highlighted how easy it is to be part of a community. In the Arizona community, it felt effortless. Here in Switzerland, it requires effort, which might indicate this might be part of my Ikigai journey.

Finally, I want to find one or two more hobbies that enable me to enter a flow state.

6. Conclusion: Finding Your Ikigai

We all have an Ikigai, but most probably don't know it or have identified it yet. But now take the time and find your Ikigai.

If you don’t know your Ikigai yet, start with the small things you love doing. It grows from there. Start now and find your reason for being...your Ikigai!

Longevity and happiness come not from shortcuts, but from purpose lived daily.

I read the book Ikigai: The Japanese Secret to a Long and Happy Life to help me jumpstart my path towards finding my Ikigai. Maybe it can help you as well.

Ikigai Frequently Asked Questions

Q: What is Ikigai?

A: Ikigai is a Japanese concept meaning “reason for being.” It’s the sweet spot where four elements intersect: what you love , what you’re good at , what the world needs , and what you can be paid for. When all four align, that’s your personal Ikigai — a compass for living a full, resilient, and meaningful life.

Q: How does Ikigai relate to longevity?

A: In Okinawa, where many people live past 100, Ikigai isn't just a philosophy—it’s embedded in daily life. Okinawan elders stay active, keep strong social ties, eat well, find purpose, and engage in rituals that maintain their flow. These practices, tied to Ikigai, are seen as part of the “Japanese longevity secret.”

Q: Can I apply Ikigai in my daily life even if I’m not doing what I love as my job?

A: Absolutely. Ikigai isn’t just about work. It’s about rituals, community involvement, hobbies, and small consistent actions. You can build parts of your Ikigai through side projects, volunteering, cultivating relationships, and carving out flow states outside of your job. The key is to align with the four circles as much as possible.

Q: What if I don’t know what I love or what I’m good at yet?

A: That’s pretty common. The process involves experimentation. Try different activities, see what energizes you and which things feel meaningful. Reflect on times when you lost track of time (flow). Over time, patterns emerge that point you toward your passion and strengths.

Q: How is Ikigai different from chasing goals or achievements?

A: Chasing goals often focuses on specific outcomes—milestones, trophies, recognition. Ikigai shifts focus toward rituals, flow, and meaning in the present moment. It emphasizes sustainable, ongoing wellbeing, rather than one-off achievements. In Ikigai, happiness comes more from living in alignment daily than from occasional wins.

Q: Is Ikigai a static thing or something that changes over time?

A: It changes. As you grow, your context changes, your skills evolve, your world view shifts. Your Ikigai may look different in different seasons of your life. The important part is staying aware, iterating, and staying aligned with those four circles—what you love, what you're good at, what the world needs, what you can be paid for.

Follow me

If you liked this article, to stay updated!

Your Human OS: One Interface for All Your Tools

Brian Christner — Thu, 04 Sep 2025 20:03:09 +0000

The Context switching tax is toggling between apps 1'200 times per day. That’s four hours a week — or five weeks a year — wasted just flipping between apps and tabs. This doesn't take into consideration the amount of time to regain focus for each context switch.

Modern professionals are overwhelmed by a multitude of tabs, apps, notifications, emails, messages, and more. Take a moment and count how many tabs and apps you currently have open while reading this. I currently have 27 tabs and 12 apps open while writing this blog post .

What if instead of dozens of apps and tabs pulling at you, you had a single interface to every app you own and use? That’s what I call a Human OS.

I'm currently developing my own Human OS. What is a Human OS, you ask?

Definition: Human OS

A Human Operating System is a unified digital layer (a single interface) that reduces context switching by connecting all your tools, data, and workflows into a single user interface. Instead of adapting to dozens of fragmented apps, your Human OS adapts to you.

In practice, the Human OS:

Centralizes context – Keeps all your work (projects, data, messages) accessible from one conversational or visual interface in my case Claude Desktop.
Automates orchestration – Uses AI to coordinate actions across multiple apps without manual switching (app orchestration is the massive unlock).
Personalizes execution – Learns your patterns, preferences, and priorities so it works the way you think.
Frees attention – Minimizes the constant mental reset that comes with app-hopping, notifications, and tool fragmentation.

Key Difference From Just Another Productivity Tool

Not just another “all-in-one” app.
Is an adaptive layer across everything you already use.
Built on interoperability (MCP, APIs) and powered by AI to provide continuity.
Plug in the apps you use via MCP servers, customized to your workflows.

Why Current Productivity Stacks Fail

We’ve tried the single SaaS that does everything. Spoiler: it never does. Instead, we cobble together a Frankenstein tech stack, stitched from half-solutions and the false hope of more productivity.

The core problem isn’t a lack of tools...it’s interoperability. No single app can be the “top tool.” What usually ends up dominating? Email and chat. Not because they’re productive, but because they’re loud...constant pings, endless notifications.

That’s not a strategy. That’s chaos.

Enter AI + MCP Servers

We all know (and some secretly fear) AI by now. But on its own, AI is only half the story. To unlock its full potential, you need MCP servers ... the middleware that connects everything through a standard interface.

Picture this: you prompt your AI with, “Pull the latest sales numbers, draft an email to my manager with the sales data, and schedule a follow-up meeting.”

AI is the brain: it interprets your request, plans the steps, and decides which tools to use.
MCP is the spine: it integrates with your CRM for sales data, your email client for message drafting, and your calendar for scheduling meetings.

The result? One instruction/prompt, all the moving parts handled. Your Human OS abstracts away the mess so you can focus on the actual work.

No tab-flipping. No context loss.

Practical Use Case: The Power of Dual MCP Integration

As you may know, I am an avid mountain biker, but more importantly, I enjoy reviewing and obsessing over the data from my rides. I want to share my personal MCP use case, which involves using Strava and Garmin.

My latest ride

Most people think of MCP servers as “connectors,” but the real magic happens when you run more than one at a time. Take Strava + Garmin as an example. Each app has its strengths:

Garmin : physiological data — sleep quality, HRV, stress, recovery.
Strava : performance and social — segment times, competition, routes, kudos.

On their own, both are useful. Combined through MCP, they become exponentially more powerful.

Let's take a look at how combining MCPs unlocks a new level of productivity.

1. Recovery vs Performance Correlation

Garmin shows: Body Battery at 88%.
Strava shows: You set a PR on the local Strava Challenge.
Combined : If your Body Battery is 80%+, you’re 3x more likely to hit a PR. Insight is only possible through both MCPs.

2. Hidden Training Patterns

Garmin logs a stress spike at 15:00.
Strava shows you were on a brutal 14.4% grade.
Together, you learn that steep climbs consistently trigger disproportionate stress responses. Now you can train specifically for that weakness.

3. Sleep Impact on Segments

Garmin says you got only 10% REM. Strava shows your time dropped by 12%.

Flip it around: nights with 20%+ REM correlate with 15% faster technical segments.

Sleep quality → segment performance linkage = actionable recovery strategy.

4. Real-World Advantage

Instead of staring at disjointed dashboards, you could ask your Human OS:

“Am I ready for a PR attempt today?”

The AI brain interprets your intent, MCP spine fetches from both Garmin and Strava, and you get a single, contextual answer:

“Skip it. Your Body Battery is 60% and Strava shows a headwind. Tomorrow at 16:00 gives you an 85% chance for a PR.”

The Big Picture

This isn’t about just connecting apps. It’s about creating a layer of intelligence across all your tools.

Garmin gives you the inside view, Strava gives you the outside competition, and together they transform into predictive, personalized coaching...something only multiple MCP integrations can deliver.

That reframes your Human OS as not just a convenience tool, but a performance edge — in work, fitness, and life.

💰 ROI of Dual MCP Integration

Time Saved

Without : Guessing readiness, random performance
With Both : 15 minutes daily review = optimal training
Result : 25% better performance, 50% less injury risk

Performance Gains

Metric	Garmin Only	Strava Only	Both MCPs
PR Attempts Success	35%	40%	71%
Injury Prevention	60%	20%	85%
Training Optimization	70%	50%	92%
Recovery Timing	80%	10%	95%

How I Run Strava MCP + Garmin MCP in Claude Desktop

I integrated the Garmin MCP and Strava MCPinto Claude Desktop. You will need to follow the instructions for both MCP servers to install them locally on the computer running Claude Desktop.

Prereqs

Node installed for the Strava MCP server
Python 3.12 is available for the Garmin MCP via uvx
Strava API credentials and Garmin credentials

Steps

Open Claude Desktop → Settings → Developer → Edit Config.
Add the JSON below. Update paths, emails, and passwords.
Restart Claude Desktop.

Claude Desktop Developer Settings

Once the editor for Claude is Open, add the following JSON config to enable both MCP servers for Claude. Restart Claude once you are done.

⚠️ Security notes

Do not hardcode secrets in shared configs. Use environment variables or a secrets manager when possible.
Rotate credentials if you ever commit this file by accident.
If you are on Windows or Linux, adjust the uvx path accordingly.

{
  "mcpServers": {
    "strava-mcp-local": {
      "command": "node",
      "args": [
         "/absolute/path/to/your/strava-mcp/dist/server.js"
      ]
    },
    "garmin": {
      "command": "/Library/Frameworks/Python.framework/Versions/3.11/bin/uvx",
      "args": [
        "--python", "3.12",
        "--from", "git+https://github.com/Taxuspt/garmin_mcp",
        "garmin-mcp"
      ],
      "env": {
        "GARMIN_EMAIL": "YOUR_GARMIN_EMAIL",
        "GARMIN_PASSWORD": "YOUR_GARMIN_PASSWORD"
      }
    }
  }
}

Wrapping It Up: From Bike Trails to Boardrooms

The Human OS isn’t just about shaving seconds off Strava segments. The same logic that makes Garmin + Strava transformative for athletes applies to how professionals work every day. When multiple MCP servers combine, your stack goes from “collection of tools” to an intelligent operating system.

Business Workflow Example: CRM + Calendar + Slack

Imagine you’re leading a sales team. Normally, preparing for a client meeting means juggling three windows:

CRM : find the latest notes and revenue figures
Calendar : schedule prep sessions and the actual meeting
Slack : coordinate with your account manager

With a Human OS:

You prompt: “Prep me for tomorrow’s meeting with the new client.”
AI (brain) parses the intent and figures out what you need.
MCP (spine) fetches the CRM deal history, checks your calendar availability, and pulls the latest Slack thread with your team.
Output: a concise briefing, proposed agenda, and calendar invite—all in one place.

The result is the same as the Strava cycling example: less time chasing tabs, more time in flow.

Follow me

If you liked this article, to stay updated!

Why Zapier Won My Time Back from n8n

Brian Christner — Tue, 12 Aug 2025 18:00:25 +0000

Initially, I was hooked by the allure of n8n...open source, host it anywhere, tweak it however you like. Total freedom. I’d experimented with it a few years back and was impressed then, but lately the hype machine of n8n + AI pulled me in again. It promised endless flexibility and zero strings attached.

The reality? That freedom came with a catch. I turned into a Sys Admin again, hosting it myself, managing updates, keeping the lights on, and working within a strict licensing agreement that quickly transitions you to a SaaS pricing tier even though you self-host.

Don’t get me wrong, n8n is a solid tool, and it can easily automate…

The Reality Check

After spending a few hours deploying a server, locking it down, assigning permissions, and getting it all set up for my use cases, only to learn that I don't have a significant advantage here.

The “Aha” Moment: n8n vs Zapier

Hosting & Maintenance Overhead n8n (self-hosted) means you’re the sysadmin: updates, security patches, server costs, uptime monitoring. Zapier just… runs.
Learning Curve n8n is powerful, but its node-based workflow builder and advanced features can intimidate non-technical users. Zapier’s interface is more plug-and-play and quicker to build solutions.
App Ecosystem Size Zapier supports over 6,000 apps with polished, official integrations. n8n’s integrations are growing but still smaller and sometimes less feature-rich.
Licensing & Limits n8n’s “fair code” license means commercial use can have restrictions, nudging businesses toward the paid cloud or self hosting plan quickly. Zapier’s terms are clearer (just pay for the plan you need).
Speed to Deploy With Zapier, you can spin up an automation in minutes. With n8n, you might need to handle hosting config, webhook setup, and API quirks before it works.
Monitoring & Error Handling Zapier’s error alerts and task history are straightforward. n8n can require more manual digging or custom error handling logic.

But, wait. Does n8n also have a cloud offering?

Sure, n8n also has a cloud offering, but it focuses more on enterprise capabilities like SSO, logging, etc. With the n8n Cloud version, you can quickly scale in price, but not necessarily what you need, which is more integrations and tools to help you build.

Hold on, I hear that n8n is for power users and Zapier is for point and click jockeys?

Yes, true, but you can also code within Zapier as well, so this point is invalid.

n8n Cloud is incredible if you want n8n’s flexibility without server headaches. Still, if your real goal is zero setup, huge integration coverage, and minimal thinking about the tool at all , Zapier gets you there faster!

Basically, n8n Cloud is great if you want n8n’s flexibility without server headaches...but if your real goal is zero setup, huge integration coverage, and minimal thinking about the tool at all.

Why Zapier Made Sense Now

Switching back to Zapier meant I could focus entirely on building solutions instead of babysitting servers. No more patching, scaling, or worrying if my instance was going to crash at the wrong moment.

Zapier’s massive integration library opened the door to thousands of ready-to-use connections, letting me build workflows in minutes instead of hours. On top of that, its built-in AI agents and visual canvas tools make complex automation design faster and more intuitive, so I can spend my time creating value instead of wrestling with infrastructure.

Why does Zapier make sense? I can focus on building instead of maintaining!

n8n vs Zapier: The Bottom Line

This switch reminded me that the best tool isn’t always the one with the most control or the lowest sticker price...it’s the one that lets you move the fastest toward your goals and add the most value to me.

Sure, self-hosting n8n gave me freedom, but it also gave me a second job maintaining infrastructure. I spent hours setting up servers, giving people access, tweaking security, and and and. Even n8n Cloud, while removing the server headaches, still didn’t match Zapier’s integration depth or its “ready on day one” usability.

Zapier’s managed environment, huge app ecosystem, and built-in automation tools let me ship faster, test more ideas, and focus my time where it matters: delivering solutions, not managing the plumbing behind them.

The real win is now I spend my time building automations that solve problems, not wrangling the machines that run them.

From Cloud Native to AI Native: Why Your AI Architecture Needs a Reality Check

Brian Christner — Thu, 10 Jul 2025 20:54:00 +0000

Remember when “Cloud Native” became the gold standard for building applications? Suddenly, everything had to be containerized, microservice based, stateless, and ready to move to whichever cloud provider offered the most free credits or the least amount of hassle. It was liberating, disruptive, and meant you could finally break free from vendor lock-in.

Fast forward to today: We’re at the dawn of the AI era. Yet as companies race to wire up their products to the latest shiny LLM or API, I can’t shake the feeling that we’re repeating old mistakes that we learned pre-Cloud Native times. However, with AI the lock-in is even tighter than we knew it previously. If “Cloud Native” was about freedom and flexibility, shouldn’t our AI architectures aim for the same?

What Does “Cloud Native” Really Mean?

Before “Cloud Native,” deploying applications felt like putting a stamp in the middle of a room, turning off the lights, and jumping up with your tongue out, trying to hit the stamp. A shot in the dark, and you smacked your head against the ground a lot!

Applications were tightly coupled to their infrastructure. If you changed clouds, you were basically starting from scratch. My favorite diagrams, which I have used for countless presentations, is the Spaghetti vs. Lasagna vs. Ravioli software architecture comparison.

Essentially, we are back to the Spaghetti era of software development. Spaghetti code used to be copying and pasting code from Stack Overflow from all sorts of sources. Then, to untaggle the code or upgrade was like pulling out a single piece of spaghetti from your plate while not trying to make a mess.

The Current State of AI Architectures: Are We Heading for Lock-In 2.0?

Right now, most AI-powered apps connect directly to a single AI provider OpenAI, Anthropic, Google, you name it. This works great... until it doesn’t...

Vendor lock-in: If your provider changes pricing, policies, or suddenly decides to use your data for their own model, you're screwed.
Innovation bottlenecks: New models and breakthroughs appear almost weekly, but switching is hard when your architecture is glued to a single API.
Compliance and data residency: Need your data to stay in your home country, or want to run on-prem for privacy? Good luck if you’re tied to one of the big AI providers.

We are riding the wave of AI exponential growth, but most architectures are acting like it’s 2015.

Introducing the “AI Native” Mindset

So, what does “AI Native” mean? It’s not just adding an LLM to your stack and calling it a day.

AI Native is about architecting your systems from the ground up to be:

Model-agnostic: Able to swap out AI providers without rewriting everything.
Composable: Plug in different models for different tasks (text, vision, translation, you name it).
Resilient: If one model fails or underperforms, reroute traffic to another.
Ready for BYOM (Bring Your Own Model): Whether it’s a self-hosted open-source model or the latest SaaS LLM.

Think of it as the Kubernetes of AI: orchestration, abstraction, and freedom.

Benefits of AI Native Design

Why bother with this extra complexity? Because the future you will thank you.

Flexibility: Swap models as better ones emerge without having to rewrite your app.
Resilience: If a provider changes terms or goes offline, you’re not left in the dark.
Competitive edge: Use the best model for each use case—GPT-4 for chat, Gemini for search, local models for compliance.
Compliance: Easily route sensitive data to compliant models, whether in-country or on-prem.

In a rapidly changing AI landscape, agility isn’t a nice-to-have...it’s survival!!

How to Build AI Native Architectures

Ready to go AI Native? Here’s how to start:

1. Abstract Your AI Layer

Use adapter patterns, SDKs, or libraries (think LangChain, Haystack, LlamaIndex) that let you plug in different backends.
Design your APIs so that the rest of your app doesn’t care which model is in use.

2. Decouple Business Logic from AI Providers

Treat the AI as a service, not a dependency.
Store prompts, fine-tuning data, and model configs in a way that’s portable between providers.

3. Invest in Monitoring and Routing

Track latency, accuracy, and cost for each provider.
Build in smart routing to send requests to the best provider for the task, region, or compliance need.

4. Embrace Open Source

Keep an eye on open-source models, they’re catching up fast.
Consider hybrid architectures: mix SaaS models for general tasks and self-hosted models for sensitive data.

Challenges and Trade-offs

Let’s be real: building AI Native isn’t all unicorns and rainbows.

Complexity: More moving parts mean more things can break and more things to maintain.
Latency: Routing and abstraction can add overhead.
Monitoring: It’s harder to debug across multiple providers.
Analysis Paralysis: The “paradox of choice” is real with so many models.

But the benefits: agility, resilience, and freedom far outweigh the challenges, especially as the ecosystem matures.

Conclusion: Don’t Just Go Cloud Native, Go AI Native!

The AI landscape is moving faster than a caffeinated squirrel, and locking yourself to a single vendor is like buying a one-way ticket on a rollercoaster you don’t control.

AI Native architectures aren’t just a technical luxury; they’re a strategic necessity for innovation, compliance, and—let’s face it—your sanity. Don’t repeat yesterday’s mistakes. Architect for flexibility, and you’ll be ready for whatever the next AI breakthrough brings.

Ready to build AI Native? Start small, abstract aggressively, and future-proof your stack before the next wave hits. Your codebase and Ops teams will thank you.

Like this article? Get more AI and tech strategy insights every week— subscribe to The Byte newsletter !

Why Is My Website So Slow? Fix It Fast with Google PageSpeed and CrUX

Brian Christner — Wed, 09 Apr 2025 22:44:29 +0000

Ever opened a website and it paints each image like you are on a dial connection or you have a loading spinner which takes longer to complete than a Microsoft Update.

You’re not alone. Website speed isn’t just a nice-to-have — it’s a critical piece of your user experience, SEO, and bottom line. A slow site means frustrated users, higher bounce rates, and fewer conversions. It's proven by Google Bounce Rate Datasets and industry studies that each second of page load time drastically increases the Bounce Rate of website visitors.

But here’s the good news: you don’t need a team of performance engineers to figure it out. Google offers new and powerful (and free) tools that give you deep insight into real performance issues — and more importantly, what to do about them.

I'm personally obsessed with making websites fast and always looking for ways to make them faster. I have a portfolio of websites from WordPress, Vibe Coded AI websites, to a few different blogs. All of them have been put through the wringer on how to squeeze out every ounce of speed to get them to load faster.

In this guide, I’ll walk you through:

The most common reasons your site is slow
The exact tools I use to diagnose speed issues
How to go from “this is slow” to “this is flying”

Let’s get into it.

Common Culprits Slowing Down Your Website

Before we look at the tools, it helps to understand what typically causes slowdowns. These are the usual suspects:

Massive images or videos loading above the fold
Third-party scripts doing who-knows-what in the background (many times I've found unused scripts or scripts not even working slowing everything down)
Bloated CSS and unused JavaScript
Slow server response time or no CDN
Lack of caching
Everything loading all at once (instead of lazily)

Sound familiar? Good — now let’s see how to pinpoint exactly what’s going wrong.

Step 1: Start with Real-World Data Using CrUX

📍 Tool: Chrome UX Report (CrUX) via Looker Studio

CrUX (also known as the Chrome UX Report, or CrUX for short) is a brand new tool from Google integrating with Looker Studio and Big Query and stores data for up to one year. The CrUX gives you a report card based on real user data. This is key. Most speed tests simulate a load — CrUX shows what actual humans are experiencing across devices, browsers, and network conditions allowing you to easily filter based on your criterias.

What You’ll Learn:

Core Web Vitals (LCP, INP, CLS)
How performance varies by country and device
Where the bottlenecks are

How to Use It:

Head over to the CrUX dashboard link.
Plug in your domain.
Instantly get a Looker Studio dashboard you can share with your team or clients.

Here's a CrUX Dashboard snapshot of this blog

It's also great to see the history for each report. For example, here's the FCP (First Content Paint) history for the last 10 months. It helps visualize when you possibly made changes on the website on the impact over time.

Step 2: Use CrUX.Visualizer for a Fast Snapshot of Performance Trends

📍 Tool: CrUX Vis

CrUX Vis is a lightweight visualization tool allowing you to easily see trends overtime. If Looker Studio feels like overkill, the CrUX Vis is a lighter, faster option. Just drop in your domain and it visualizes Core Web Vitals with no setup.

Perfect for:

Quick visual check-ins
Spotting regional performance issues
Skipping the dashboard build-out

Step 3: Run a Deep Dive with PageSpeed Insights

📍 Tool: PageSpeed Insights

I spend most my time troubleshooting performance issues with PageSpeed Insights. Now that you have field data, it’s time to look under the hood with lab testing. PageSpeed Insights combines CrUX with Lighthouse to show both real-world and simulated performance.

What's great about PageSpeed insights is the breakdown of the exactly the "What" os causing the issues for each Core Web Vital. This is extremly helpful to narrow down your search.

What You’ll See:

Performance score (0–100)
Opportunities and diagnostics
What’s slowing down your site (like render-blocking resources or unused JS)

Why It’s Awesome:

Each issue comes with a “how to fix” recommendation.
You’ll see the exact assets hurting your performance.
You get both mobile and desktop performance snapshots.

PageSpeed Insights on Brianchristner.io blog

👉 Pro Tip: Ensure you type in the domain with the prefix www or non www as this will impact the test. Whatever your default home page is you should use this as your testing page.

Quick Wins: What to Actually Fix

Once you’ve run the tests, you’ll likely see a few recurring themes. Here’s where to start:

🖼️ Compress & Convert Your Images

Use next-gen formats like WebP.
Resize images based on device/resolution.
Tools I like: TinyPNG, Squoosh
If you use CloudFlare this an option within your account

🧹 Remove Unused CSS & JS

Clean out code that never gets used.
Bundle and minify assets for faster loads.

💤 Lazy Load Everything

Only load images/videos as they scroll into view.
Bonus: Native lazy loading is supported with loading="lazy".

🔌 Tame Your Third-Party Scripts

Audit embedded tools, ads, and trackers.
Load asynchronously or defer where possible.

🌐 Add a CDN + Caching

Deliver static assets via a CDN (like Cloudflare or Bunny.net). I'm a huge fan of Cloudflare for both CDN and security
Set smart caching headers for repeat visits.

Before Getting Started

I highly recommend documenting everything! Believe me from my experience you change a bunch of things at once and all of sudden the performance get a lot better or worse and you don't really know why.

Just start a word document with time and date of a single change. Perform a PageSpeed Insights test and check to see if the performance improved or not. Keep repeating this processes and make sure to validate all the changes.

You process should be:

Website Performance Test Cycle

Bonus: Make Speed a Habit, Not a One-Off

Performance isn’t a set-it-and-forget-it task. Monitor it over time:

Set up a weekly PageSpeed check
Track Core Web Vitals in Looker Studio
Add performance budgets to your CI pipeline (e.g. Lighthouse CI)

Final Thoughts: Fast Websites Win

A fast website doesn’t just feel good — it builds trust, drives conversions, and helps your SEO. And thanks to these Google tools, there’s no excuse for flying blind.

Start with CrUX, visualize the data, run a PageSpeed test, and take action. Even a few small tweaks can shave off precious seconds.

And if you’re stuck at the “okay, now what?” stage — feel free to reach out or drop your PageSpeed score in the comments. I’ve broken enough websites to know how to fix them again.

Ready to find out what’s slowing you down?

👉 Head to PageSpeed Insights and give your site a proper test drive.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

The AI Revolution in Search: Why Your Business Might Be Invisible and What to Do About It

Brian Christner — Mon, 07 Apr 2025 20:49:22 +0000

“Am I being seen?”

That’s the blunt sentiment from countless small business owners after Google’s latest AI shift. Traffic's tanking. Ad revenue's nosediving. And no, it’s not because their SEO fell off—it’s because AI is now answering questions before users ever get to a click.

We’re witnessing a pivotal moment in search. AI-powered results aren’t just tweaking the experience—they’re rewriting the rules. And businesses relying on visibility in Google’s search results? You’re playing a whole new game now.

Let’s unpack what’s changed, why it matters, and how to stay in the spotlight before your business fades into the background.

Google’s AI Overviews Are Stealing the Show

Remember when being on page one of Google was the holy grail? Now, it might not even matter.

Google’s AI Overviews—those summarized answers generated by machine learning—are jumping the queue. They sit above organic results, above ads, and they often answer the user's question directly. Google AI Overview has been live quite sometime in the United States but just recently rolled out in Europe.

What that means for you:

No click = no customer : If users find what they need in the AI box, they’ll never reach your site.
Ads pushed lower : Paid results are increasingly buried beneath AI content.
SEO feels like a moving target : Old strategies don’t work when you're competing with Google’s own AI answers.

Of course they offer links to actual content but the link is so small in comparison to the content itself. Below I asked Google how to play Blackjack. The answer is clear in the results with little link icons at the end of references. But would someone need to click a link or reference if the answer is already sufficient? Probably not.

How to play blackjack answered in Google's AI Overview

Small Businesses Are Feeling the Pain—Fast

A recent ZeroHedge article paints a stark picture.

Morgan McBride, who runs a DIY home improvement site, saw her Google traffic drop 70% —almost overnight. Morgan experience several algorithm updates over the years but this is different. Her ad revenue? Down 65%. And she’s not alone.

Across the board, small and midsize businesses are seeing:

Huge traffic declines
Crumbling ad revenue models
Fewer opportunities to even get noticed

And the worst part? These changes didn’t come with a warning label. It was just... there one day.

So What Now? Adapt, Don’t Panic

We’re not here to wallow in misery and self pity. We’re here to succeed and be a first mover. The businesses that come out on top in this new AI-driven search world are the ones that adapt early and fast.

Here’s how:

1. Stop chasing clicks—start building trust

AI may summarize the facts, but it can’t replicate you or your Brand. Lean into brand authority. People still click on names they know and trust.

2. Create unique content for your Audience

Opinion pieces, expert interviews, case studies, and deep dives on your niche—AI can’t match originality. Make your content harder to summarize. Also, make sure you continue to make fresh content. Content is still King!

3. Own your audience

Build email lists. Email surprisingly still works incredibly well. Grow communities. Nurture direct channels like newsletters, apps, and SMS. Don’t rely on Google to do the connecting for you. By owning your audience you have less risk when one channel stops performing.

4. Structure for snippets

Use headings, bullet points, and direct Q&A formatting. Give your content a shot at showing up inside the AI response—on your terms. Several of my websites are now getting a lot of referrals on very domain specific content and in depth analysis.

Below you can see my Google Analytics referrals to brianchristner.io from ChatGPT.

ChatGPT referrals

5. Explore alternate discovery channels

Think TikTok, YouTube Shorts, Reddit, LinkedIn—platforms where human engagement still leads the way (for now). Discovery isn’t just on Google anymore. Ensure you maintain a healthy marketing mix across multiple channels.

Continue working to find new channels as riches in the niches so go find where your audience and niche hang out.

Final Thought: This Isn’t the End—It’s the Reset

If your website traffic is slipping, you’re not alone. But you’re not helpless, either.

AI is changing the landscape of digital discovery—but change brings opportunity. Now’s the time to pivot, get creative, and build stronger, more resilient channels that don't rely on the whims of one algorithm.

Search isn’t dead. It’s just different. Make sure your business isn’t left behind.

Want help rethinking your SEO or diversifying your traffic sources? Let’s connect. This shift is big—but it’s also winnable.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

How I Saved $1,900 by Ditching Kajabi and Building My Own Learning Platform on Replit

Brian Christner — Mon, 24 Feb 2025 21:25:42 +0000

Ever felt like you’re paying too much for tools you don’t fully use? That was me with Kajabi. I initially started using Kajabi back in 2019 for my Traefik Training course and the price was reasonable and the product fit my needs.

I was earning decent money from my course and basically deployed the course and let it run on autopilot. But like many of us, I signed up for this SaaS subscription and just let it run. Sure, it was generating revenue but over the years Kajabi's price kept increasing by huge percentages and my profit margins kept shrinking until it went negative.

Kajabi is great—until you realize you’re shelling out $1900+ a year for features you barely touch. I wanted more control, fewer costs, and the freedom to build exactly what I needed. So, I took the plunge.

I built my own learning platform using Replit—and saved $1,900 in the process.

Here’s exactly how I did it, what I learned, and why it was worth every second.

💸 Why I Ditched Kajabi (and Saved $1,900 Doing It)

Kajabi promises an all-in-one solution—website, course hosting, email marketing. Sounds perfect, right? Kajabi does do it all to be honest.

But here’s the thing:

I wasn’t using half the features.
Customizing the user experience was nearly impossible or you need extrenal designers to fix templates.
The $1900/year price tag felt like overkill for what I needed.

I didn’t want to keep paying for a bloated platform. I wanted to own my course, control every aspect of it, and stop handing over nearly two grand a year.

I'm not angry or a disgruntled Kajabi customer but it no longer fits my use case.

🚀 Why Replit Was the Game-Changer

Enter Replit—a cloud-based development environment where you can code, build, and deploy apps straight from your browser.

I spent a lot of time trying all sorts of AI toolsbefore I discovered Replit. What sold me is I could build an app from a single AI Agent Prompt, interact with the built code, and then deploy right to production all with the same app. Sold!

Replit Prompt

Why Replit? Simple:

Zero hosting headaches: Deploy in seconds, build an app and push it right to production.
Total flexibility: I built the exact features my audience needed—nothing more, nothing less.
Massive savings: No monthly subscriptions draining my wallet.
Browser-based coding: Work from anywhere, no complex setup.

Replit gave me the freedom Kajabi couldn’t. Plus, building my own platform felt like unlocking a superpower. Also, returning to my mantra of building just felt right.

Sure, Replit isn't free but the $15 a month subscription sure beats the $1900 a year or $159 a month I was paying previously.

🛠️ How I Built My Learning Platform (Step by Step)

Step 1: Planning the Escape from Kajabi

First, I mapped out everything:

Exported all course videos, PDFs, and overviews.
I uploaded all the videos to YouTube (Free)
Designed a better user journey tailored to my audience.

What's really amazing about Replit is I built the entire user interface with AI. Basically, I would take a screenshot of what I wanted fixed and prompt it back to the agent. Whether it was aligning buttons, adding logos, or fixing errors I would say 90% of the work was handled via the AI Agent.

I did however, still make some manual adjustments in the code like fixing text, rewriting copy, and adding Google Analytics and Tag Manager.

Did, I mention you own all the code you create using Replit so you can connect Replit to Github to save all the code? No, well you can!

Step 2: Building on Replit

The best part? Replit’s instant deploy meant I could see changes live without extra hosting costs.

Here’s what I built:

🔒 User authentication for secure logins. (rolled back for now until I bullet proof this)
📈 Progress tracking so students could pick up right where they left off. (Rolled back for now)
🎥 Video streaming optimized for fast, buffer-free playback.
💳 Stripe payments for smooth, secure transactions. (Actually, I decided to make the course 100% free)

Believe it or not Replit also built the entire backend integration to Postgres to handle session handeling and storage of course completion certificates.

Step 3: Testing & Tweaking

Before going live, I stress-tested everything:

⚡ Test all the things I ran through the entire course, checked all the buttons, the new certificate builder, and menus to sanity check functionality. (I'm sure I missed something)
🧪 User feedback loops to fine-tune the experience.
⚙️ New Features I'm adding new features and going to add the other courses to the site as well. Still in development but sure is a fun project.

⚡ The Challenges (and How I Crushed Them)

Not gonna lie—it wasn’t all smooth sailing:

Session Handling: Building my own login system meant extra focus storing data, creating certificates, and tracking course progress
YouTube Ok, this was a pain in the ass. I created a YouTube playlist with the course. However, the AI Agent kept hallucinating and pulling other videos instead of my course. I had to export the Playlist and import into the Agent to get it to understand what video goes where and in what order.
Course Completion Certificate previously, when a student would finish the course I would receive an email to create and send a certificate. now, this is 100% automated as well.
SLA's: Unlike Kajabi, I now had to keep the platform running 24/7.

But each challenge pushed me to learn more, build better, and own the process.

💰 The $1,900 Question: Was It Worth It?

100% yes.

By building my own platform, I:

💵 Saved $1,900 a year in subscription fees.
🎨 Customized everything for my audience—no more cookie-cutter experiences.
🚀 From Idea to Production in no time about 3 hours I converted my entire course from idea to live with Replit.
🏗️ Gained full ownership —I control the code, the content, and the customer journey!!

The freedom to innovate without lock-in? Priceless.

🎯 Key Takeaways: How You Can Do It Too

Flexibility beats convenience: Build what you need, not what a platform forces you into.
Replit is the ultimate dev playground: no complicated setups—just prompt the AI Agent, tweak, and go-live.
Own your platform, own your future: No more vendor lock-in, no more surprise massive price hikes. At least I hope but I own the code now.

🏆 Final Thoughts: Should You Build Your Own Platform?

If you’re tech-savvy and want full control of your online course, do it. The savings alone make it worth exploring.

For me, the math was simple:

Kajabi: $1,900/year, limited customization.
Replit: $15 a month, endless customization, and total ownership.

I chose freedom—and my wallet thanked me.

💬 Thinking about ditching Kajabi? Got questions about building your own platform on Replit? Drop a comment or reach out—happy to share more.

FAQ Section: Saving Money by Building Your Own Learning Platform on Replit

How much money can you save by building your own learning platform?

Building your own learning platform can save you thousands in subscription fees. In this case, switching from Kajabi to a custom-built platform on Replit saved $1,900 annually. Over time, these savings can significantly reduce overhead costs while providing more control and customization.

Why choose Replit for building a learning platform?

Replit offers a cloud-based, collaborative development environment that supports multiple programming languages. It’s ideal for building a learning platform because it’s cost-effective, requires no complex local setup, and allows for quick deployment and iteration.

Is it difficult to replace Kajabi with a custom platform?

Replacing Kajabi with a custom-built solution can be challenging without technical knowledge. However, platforms like Replit simplify the process by providing coding tools, hosting options, and integrations, making it accessible for those with some programming experience.

What are the key benefits of building your own learning platform?

Key benefits include complete ownership, lower costs, flexibility in design and features, and no dependency on third-party pricing changes. You also have the freedom to scale and adapt your platform as your audience grows.

What skills do you need to build a learning platform on Replit?

Basic knowledge of web development, including HTML, CSS, and JavaScript, is essential.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

Switzerland is the New AI Valley

Brian Christner — Tue, 10 Dec 2024 21:57:24 +0000

Switzerland, known for its picturesque landscapes and precision engineering, is rapidly transforming into AI Valley. As a tech enthusiast living in the heart of this innovation hub, I've witnessed firsthand the incredible strides in artificial intelligence in the Swiss Alps region.

Check out the recent post on LinkedIn about the Swiss AI Valley map.

[

Greater Zurich Area on LinkedIn: #ai #claude #talent #tech #innovation #greaterzuricharea… | 20 comments

Welcome Anthropic to the Greater Zurich Area! 🎉 After news broke that OpenAI will be setting up an office in Zurich, we have yet another exciting addition… | 20 comments on LinkedIn

LinkedInGreater Zurich Area

](https://www.linkedin.com/posts/greater-zurich_ai-claude-talent-activity-7270737450384183296-zDh8?utm_source=share&utm_medium=member_desktop)

At the beginning of the Crypto Valley launch, several Unicorn crypto companies in the process. The same is being done again, but this time for AI in the newly positioned AI Valley.

The AI Ecosystem in Zurich, Switzerland

Swiss universities and research institutions are at the forefront of AI development. ETH Zurich and EPFL Lausanne are churning out top-tier AI talent, while companies like Google and IBM have established significant AI research centers in the country. This concentration of brainpower is creating a perfect storm for AI innovation.

Switzerland is not in the EU!

A considerable advantage few people mention is that Switzerland is not part of the EU. We all know the EU loves to regulate everything, so AI companies find refuge in Switzerland.

This regulatory agility is particularly attractive to AI companies seeking a balance between innovation and responsible governance.

Switzerland's non-EU status allows it to maintain more flexible AI development and implementation regulations. This is not to say that companies won't want to leverage the EU, but maybe developing AI companies outside of Switzerland will remove a lot of the red tape bureaucracy that kills a lot of innovation in the EU.

Google's Swiss AI Presence

Google Switzerland

Recently, I had the honor of being invited to Google Switzerland's 20th anniversary celebration inZurich, Switzerland. The experience was mind-blowing. Google's commitment to AI research in Switzerland is evident in during the presentation, highlighting recent achievements with Deepmind and tools such as NotebookLLM. Google promised a strong commitment to AI in Switzerland in the future.

The Claude Effect

Amazon and Antropic The AI landscape in Switzerland got an extra boost with the arrival of Claude, Anthropic's advanced AI assistant. Claude's presence in the Greater Zurich Area. The arrival of yet another AI heavyweight is a testament to the region's growing importance in the AI field. This move will likely attract even more AI talent and investment to the area, further solidifying Switzerland's position as an AI powerhouse.

Why are AI companies moving to Switzerland?

Switzerland's success in becoming an AI hub isn't by chance. The EU ranks Switzerland cities Zurich and Geneva as the best cities to live in, even though it is not part of the EU.

Switzerland offers:

World-class education system
Stable political environment
High quality of life
Central European location
Strong data protection laws

These factors make Switzerland an attractive destination for both AI companies and talent.

AI in Switzerland has challenges as well.

Many welcome AI's arrival in Switzerland. However, proper VC funding for new startups remains lacking in the Swiss market to position Switzerland as a startup hub. Compared to other countries, Switzerland still has a lot of potential in this area.

Gian Sbetta does a great job covering the Swiss startup sceneand all the funding going on. What's evident is that Pharma and Biotech companies have been pulling the most VC money lately.

I'm hopeful that with the arrival of the AI heavyweights, we will see more VCs take an interest in investing in Switzerland startups.

The Future of AI in Switzerland

As AI continues to evolve, Switzerland is well-positioned to lead the charge. With its unique blend of academic excellence, corporate investment, and governmental support, the country is poised to become the Silicon Valley of AI in Europe.

The transformation of Switzerland into AI Valley is a boom for the tech industry and the entire Swiss economy. As Switzerland continues attracting top AI talent and companies, we create a robust ecosystem to drive innovation across multiple sectors.

For those in the tech industry, being in Switzerland is an exciting time. We're not just witnessing history; we're actively shaping the future of AI. And if you ask me, the future looks pretty good from here in the Swiss Alps.

FAQ Section: Switzerland's Emergence as AI Valley

Why is Switzerland becoming a hub for AI innovation?

Switzerland offers a mix of world-class universities like ETH Zurich, a stable political environment, flexible regulations, and high quality of life. These factors attract AI giants like Google and Anthropic to the region.

How does Switzerland's non-EU status benefit AI companies?

Being outside the EU allows Switzerland to maintain more flexible AI regulations, striking a balance between innovation and responsible governance, which appeals to AI firms.

What major AI companies have a presence in Switzerland?

Tech giants such as Google, IBM, and Anthropic have established AI research centers in Switzerland, particularly in Zurich.

What challenges do Swiss AI startups face?

Despite strong infrastructure, Swiss AI startups struggle with attracting venture capital (VC) compared to sectors like biotech and pharma.

What role do Swiss universities play in AI development?

Institutions like ETH Zurich and EPFL Lausanne produce top AI talent and foster research, fueling the country's AI ecosystem.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!

20 Years of Google Switzerland: A Look Back and a Look Ahead

Brian Christner — Thu, 28 Nov 2024 17:30:59 +0000

This week, I was privileged to attend Google Switzerland's 20th Anniversary celebration in Zurich. It was an incredible event, filled with inspiring talks and a chance to connect with leaders in the Swiss tech scene, politicians, and business leaders. But it was also a chance to reflect on Google's deep impact on Switzerland and my own career.

I took the opportunity to speak with as many people as I could and was fortunate enough to talk to the US Ambassador to Switzerland Scott Miller and the Bundespräsidenten (President) of Switzerland Viola Amherd. Since the culture in Switzerland is to respect peoples privacy the both of them were essentially alone allowing us to speak to them. Still keep this part of the American in me ;)

Left Viola Amherd / Right US Ambassador to Switzerland Scott Miller

A Career Launched with Google

When I first came to Switzerland, Google played a significant role in shaping my professional journey. Knowing no one in Switzerland besides my wife and her family I wanted to quickly build up a network. Google at the time started something called GTUG's (Google Technical User Groups). This predated meetups and I jumped at the opportunity to attend. The first GTUG in 2011, was about a new product called App Engine.

After the meetup I volunteered to help managed the Zurich GTUG's. This opportunity connected me with tons of Googler's, Tech scene in Switzerland, and helped me land my first job. I remained organizing meetups and when I first started using Docker I presented at Google in front of 400 people about Docker monitoring which absolutely catupluted my career.

Google offered me opportunities that were truly life-changing. Being part of a community driven by innovation and pushing boundaries was incredibly inspiring. Seeing firsthand how Google has helped the Swiss tech scene flourish makes me extremely grateful.

From Two Employees to a Tech Powerhouse

Believe it or not, Google Switzerland started small - with just two employees in 2004! Actually, Urs Hölze was actually in attendance for the anniversary and employee number two in the Google Swiss Office. He gave a great presentation on past, present, and future of Google Switzerland.

Country Director Switzerland, Urs Hölze, Politicians, President of Switzerland and more.

Today, in Switzerland, Google is a massive force with a team of 5,000 talented individuals. They've become a hub for groundbreaking advancements, especially in artificial intelligence. This incredible growth reflects their commitment to innovation and ability to adapt to the ever-changing tech landscape.

Looking Forward, Not Just Back

The anniversary wasn't just about nostalgia. There were also exciting discussions about how Google Switzerland plans to continue driving innovation and collaboration. One key theme was their strong partnerships with local institutions like ETH Zurich and EPFL in Lausanne. These collaborations show Google's dedication to nurturing talent, fostering research, and developing technology that benefits everyone.

Hearing about Google's AI projects and their vision for the future solidified my belief in their ability to lead the charge in tech. They continue to set high standards with initiatives in sustainability and cutting-edge research.

During the event they did some demos with NotebookLM and Gemini giving us a glimpse of what's in the pipeline.

A Catalyst for Swiss Tech

Switzerland's position as a global tech hub owes a lot to companies like Google. Switzerland remains the most innovative country in the world for the 14th consecutive year showing that Switzerland is truly an innovation hub.

Google's commitment to the local community, through job creation, education, and supporting innovation, has had a ripple effect throughout the ecosystem. As someone deeply involved in the Swiss tech scene, I see the impact daily. Google's efforts have not only elevated the industry but also inspired countless individuals, myself included, to push boundaries.

Gratitude and Excitement for the Future

Looking back at Google's journey and my own at the anniversary celebration filled me with a sense of awe. It's a celebration of growth, resilience, and an unwavering dedication to progress. For me, it's also a reminder of the strong ties built over the years and the exciting future that lies ahead for both Google Switzerland and the broader tech community.

To Google Switzerland, thank you for everything! Here's to the next 20 years of innovation, collaboration, and positive impact!

How Cursor AI Can Make Developers 10x More Productive

Brian Christner — Thu, 05 Sep 2024 19:37:31 +0000

As a software developer, I’m always on the lookout for tools that can make my workflow faster and more efficient. Recently, I tested Cursor AI, an AI-powered coding assistant designed to streamline development tasks.

After spending some time with it, I can confidently say that this tool has the potential to transform the way developers work and help developers achieve that elusive " 10x productivity " that everyone talks about.

Here's my first impressions of using Cursor AI, the features that stood out to me, and how it can seriously boost productivity for developers and prompt engineers with no development experience.

First Impressions of Cursor AI

When I first started using Cursor AI, I wasn’t sure what to expect. I’ve tried other AI code assistants before, but Cursor felt different right off the bat. The setup was simple, and it was very familar since it uses a fork of Visual Studio Code. The interface was intuitive (looks just like VS Code), and I could start using it without much of a learning curve.

Cursor User Interface

What really surprised me was how fast and accurate Cursor AI was in generating code suggestions. It didn’t just throw random snippets at me—it actually seemed to understand the context of what I was doing.

Cursor AI continues using previous context and the understanding of the your project as it indexes the entire project.

After doing a quick tutorial I was up to speed quite quickly. The power features are really the Composer and Chat with your code features.

Composer is activated with Ctrl/⌘ + Shift + I which opens the Composer window. Composer is a multi-file code editor. You provide a prompt like: I want a website written in Next.js with an about page, contact, and pricing Cursor then creates the next.js boilerplate and the three pages as a result. This enables you to chat not only with your code but also with the entire project globally.

Next is the Cursor chat function enabled using Ctrl/⌘ + K Chat with certain lines of code or errors from the project, or tell it to add more functionality. This handy sidekick is amazing for productivity and fixing errors quickly.

Automating Code Generation

One of the first features I tested was code generation , and I have to say, it’s a game changer. I could type in a plain language description of what I needed, and Cursor AI would instantly generate functional code. For example, I was working on an API integration, and instead of spending time writing out the repetitive setup, Cursor generated the code for me in seconds.

This saved me a ton of time. Normally, I’d spend 15-20 minutes setting up the basic structure, researching specific functions, and ensuring everything was correctly connected. With Cursor, that entire process took less than a minute.

For developers who regularly deal with boilerplate code or complex structures, this feature alone can shave hours off a project timeline. It’s not just about working faster; it’s about freeing time to focus on the more critical, creative parts of the development process.

Real-Time Bug Fixing

If you’re a developer, you know how frustrating it is to hit a bug that takes hours to track down and fix. One of the coolest features of Cursor AI is its ability to detect errors in real-time and suggest fixes on the spot.

I ran into an issue with OpenAI integration that wasn’t working as expected. Instead of manually debugging line by line, Cursor highlighted the problematic section. Right-click on the error, and you are provided with the tool Fix with AI.

Cursor Fix with AI

It pointed out a minor mistake: I forgot to declare a variable I probably would’ve missed for a while. After implementing the fix, everything ran smoothly.

Cursor Accept Fix

This feature alone could save me hours of debugging time. Instead of spending half a day chasing down a bug, I can rely on Cursor to point me in the right direction quickly. It’s like having a senior developer sitting next to you, spotting issues as you code.

Code Refactoring and Optimization

Another area where Cursor AI impressed me was code refactoring. Over time, code can become messy, inefficient, or just plain complicated to read. Refactoring is essential to keep things clean, but it can also be time-consuming and tedious.

Cursor AI simplifies this by suggesting improvements as I write code. It offers ways to make my code more efficient, helps clean up redundant sections, and even suggests better practices that I might not have thought of on my own. The best part? It does all of this without interrupting my workflow.

After using Cursor for a bit, I started to trust its suggestions. It helped me keep my codebase cleaner and more maintainable without having to invest extra time in manual refactoring.

Streamlined Documentation

Documentation is one of those necessary evils in software development. It’s boring, tedious, and often the first thing to get pushed aside when you’re trying to meet deadlines. But Cursor AI makes automating documentation easy.

As I was coding, Cursor automatically generated relevant comments and documentation for my code. I didn’t have to stop and explain what each function or class was doing—it handled that for me. This ensures that anyone else working on the project, or even my future self will have clear documentation to reference.

This is a huge productivity boost, especially when working in a team. Proper documentation keeps everyone on the same page and speeds up future development and onboarding.

Cross-platform and Multi-Language Support

One of the features I didn’t expect to love as much as I did was the multi-language support. I was switching between Python, JavaScript, and SQL for different parts of my project, and Cursor adapted to each language seamlessly.

I didn’t have to install extra plugins or manually switch modes—Cursor recognized the language I was working in and offered relevant suggestions. This flexibility is a big win for developers who work across multiple platforms and languages, and it keeps the workflow smooth.

Enhancing Collaboration

Though I was testing Cursor AI alone, I could see how it would be incredibly useful in a team setting. It enforces consistent coding practices , generates uniform documentation, and could serve as an extra pair of eyes during code reviews. I can imagine it being particularly helpful in larger teams where consistency and communication are key.

Cursor AI’s ability to maintain code standards across different developers ensures that everyone is on the same page. This can cut down on issues during integration and reduce time spent fixing inconsistent code styles.

Learning and Upskilling

I didn’t expect to learn as much as I did while using Cursor AI. It’s like having an instant mentor built into your IDE. For example, when I wasn’t sure about the best approach to solving a specific problem, I would start coding, and Cursor would suggest better, more efficient ways to do it. Over time, I found myself learning new patterns, techniques, and best practices just by using it.

For newer developers, I can see Cursor being a fantastic learning tool. It provides immediate feedback and helps you get better without needing to stop and search for answers online. This is invaluable when you’re on a tight deadline and need to keep the momentum going.

For those with no coding experience you can also bootstrap an app or website with no coding experience but some patience and trial and error.

My Attempt at a no Code Website with Cursor AI

I created a demo website using Next.js to test it without trying to write any code. I prompted Cursor AI to build a Next.js landing page as a SaaS website for generative AI images. It should include four pages for our example SaaS website.

Home Page
Generative
Pricing
About
Contact

After the boilerplate was completed, I asked that the website also include a header and footer, which was not included.

SaaS Demo

Next, the pricing page should include three pricing cards with a toggle button for monthly/annual plans. The amounts I indicated also support mobile scaling.

SaaS Demo pricing

The last step was creating a page to generate DALL-E 2 & 3 images. This took me quite some time to work through the OpenAI issues, formatting of the images, and lots of errors related to the different libraries. But in the end, it worked like a champ.

Gen AI Demo SaaS

Final Thoughts: Does Cursor AI Make Developers 10x More Productive?

After using Cursor AI for the first time, I can honestly say that it has the potential to make developers significantly more productive. Whether automating repetitive coding tasks, assisting with bug fixes, or streamlining documentation, Cursor does a great job of eliminating the friction that can slow us down and reduce context switching.

While it might not make every developer 10x more productive overnight, it enables us to work faster, reduce errors, and focus on the more creative and challenging parts of development.

With time, it could help developers achieve the " 10x" level of productivity that we all aspire to.

If you haven’t tried Cursor AI yet, I highly recommend it. It’s a tool that can potentially change the way we code, making us more efficient, more accurate, and ultimately, better developers.

FAQ Section: How Cursor AI Can Make Developers 10x More Productive

What is Cursor AI?

Cursor AI is an AI-powered coding assistant that helps developers write code more efficiently by providing real-time code suggestions, error fixes, and automation tools within an intuitive interface.

How does Cursor AI improve coding productivity?

It automates repetitive coding tasks, generates functional code based on plain language prompts, and offers quick bug fixes, significantly reducing development time.

Can Cursor AI help with debugging?

Yes, Cursor AI detects bugs in real-time and suggests fixes, saving hours of manual debugging.

What coding languages does Cursor AI support?

It supports multiple languages like Python, JavaScript, and SQL, automatically adapting suggestions based on the language in use.

Is Cursor AI beneficial for beginner developers?

Absolutely. Cursor AI provides instant feedback and teaches better coding practices, making it a great learning tool for new developers.

Follow me

If you liked this article, Follow Me on Twitter to stay updated!