DEV Community: Gentian Elmazi

How to onboard engineers 10x faster

Gentian Elmazi — Tue, 28 Oct 2025 22:44:16 +0000

Finding time to #buildinpublic is never easy — but it’s always worth it.

Today, I’m excited to share one of the newest features we’ve launched at Infinitcode.ai: 👉 Code Explorer

What is Code Explorer?

Code Explorer transforms your repositories into an interactive visual map, allowing you to understand project structure at a glance. Whether you're diving into a new codebase or managing a large enterprise repository, it helps you navigate, explore, and comprehend code faster.

Why it matters

If you’ve ever switched projects or joined a new team, you know the struggle: it can take 1–3 months to truly get up to speed.

Even with onboarding processes in place, most of that context disappears once the onboarding engineer moves on — leaving new developers to start from scratch.

With Code Explorer, we’re making that transition seamless.

It’s designed for fast onboarding, knowledge sharing, and cross-team collaboration — so switching projects no longer means weeks of catching up.

What you can do with Code Explorer

Beyond visualization, Infinitcode AI extends Code Explorer with powerful AI actions:

🧠 Explain a file or function
📘 Generate documentation automatically
🧪 Write unit tests with full coverage suggestions
🔍 Review files and detect potential issues

Why teams love it

Open Source teams: Maintain high-quality documentation for easier adoption and contributions.
QA and Dev teams: Automatically generate meaningful test coverage across all branches.
Enterprises: Cut onboarding time from months to weeks.

We tested it ourselves — onboarding that used to take up to 3 months now takes just 1–2 weeks. Documentation gaps are gone, and code reviews are faster and more reliable.

Try it yourself
You can explore it right now at infinitcode.ai

💡 Free forever for:

Startups with up to 3 team members
Open Source projects

Curious to hear what you think — how would Code Explorer fit into your workflow?

Integrations, Integrations, Integrations… and why they matter

Gentian Elmazi — Tue, 10 Jun 2025 14:59:52 +0000

Integrations, Integrations, Integrations… and why they matter

As the second post in #buildinpublic, I'm sharing insights from our team at Infinitcode.ai about why integrations matter.

Why integrations matter

Software teams typically use multiple tools in their day-to-day work. This can get messy quickly because developers need to focus on productivity rather than getting distracted by constantly switching between tools.

Developers are simple creatures: they hate bureaucracy and love simplicity.

A few tools they use daily (from my personal experience) include:

Email
Git (GitHub, GitLab...)
Communication tools (Slack, Discord ❤️)

To keep everyone aligned, you need to communicate through these channels.

Here's why you should integrate them:

Interconnect tools
Sync communications in one place

Interconnect tools

Connecting tools takes effort initially, but once you establish a solid pipeline, everything falls into place.

Sync communications in one place

A bug in production?

A new release?

A successful code review?

These questions demand immediate answers. What if there's a breaking change in production? Your team must be aligned to act ASAP.

A new release? Alignment on company goals and achievements becomes critical.

A passed review? Developers need real-time visibility into their code's progression: dev → staging → production.

How we did it

At InfinitCode.ai, we've launched a feature that lets you connect communication tools like Discord and Slack to receive PR reviews and code change notifications in one place.

While our AI agent handles initial reviews (followed by senior developers), you can focus on other tasks and simply monitor your communication tools.

For example, connecting Discord is straightforward:

Edit your channel
Navigate to Integrations
Create a new webhook
Copy the Webhook URL
Paste it into Infinitcode.ai

Then create your new integration and you're set!

While maintaining productivity you synchronise your team and you set your goals straight

I would ❤️ to hear how you do it in your team?

How We Launched 10x Faster in Production

Gentian Elmazi — Thu, 15 May 2025 22:03:43 +0000

Hi everyone! I’m Gentian Elmazi, a software engineer with over ten years of experience and co-founder of Infinitcode.com and I am starting the first #buildinpublic series. At our company, we partner with businesses across industries—outsourcing the development of web applications powered by deep tech like AI, NLP, blockchain and so on.

Our Established Standards

From day one, we’ve enforced maintainable, readable, and scalable code. We adopt layered architectural patterns with dependency injection for modularity and testability. For source control, we follow GitHub Flow:

feature/* branch
→ Pull request
→ Peer review
→ Merge into dev
→ Production release

The Bottleneck We Hit

As our client base and project scope grew, our senior engineers spent roughly 40% of their time on code reviews. Constantly context-switching across multiple repositories began to erode our strict standards—and that led to production issues we simply couldn’t ignore.

The Promise (and Pitfalls) of AI

When AI assistants promised 30–40% productivity boosts, we were eager to adopt them. Yet out-of-the-box AI snippets often:

Violated our company rules
Introduced inconsistent patterns
Missed critical edge cases

Piloting Infinitcode.ai’s Code Reviewer

We decided to take a leap of faith and built an internal AI code-reviewer—now in public alpha as Infinitcode.ai—to help streamline our workflow. Within days, we saw:

35% Productivity Gain

Automated PR summaries and inline suggestions let senior engineers focus on high-value reviews, shrinking review cycles from days to hours.
30% Performance Improvement

The AI flagged inefficient loops and unnecessary computations that we’d normally catch only after profiling in production.
15+ Security Bugs Caught

Critical vulnerabilities surfaced early in pull requests, not weeks after deployment.
120+ Typos & Style Violations Fixed

Consistent code formatting and improved documentation boosted overall readability.

Example Security Fix

⚠️ Risk: Non-cryptographic UUIDv4 generation in bulk operations risked collisions under high-concurrency loads.

🔧 Fix: Implemented crypto.randomUUID() with batch-safe collision checks, ensuring unique identifiers even when processing thousands of records per second.

Even with a decade of hands-on coding, I likely would’ve missed this subtle bug until it hit production—so having AI catch it early was truly a game-changer.

The charts below illustrate the 35% productivity and 30% performance improvements we achieved—plus the dozens of security bugs and 120+ typos our AI reviewer caught—demonstrating its measurable impact on our workflow

Key Features That Helped Us

Multi-Model Integration

DeepSeek’s backbone matched our use cases, letting us switch models as needed.
Custom Rulesets

Uploading our linting and security policies ensured AI suggestions aligned perfectly with our coding standards.
Rapid Support & Iteration

Working directly with the team allowed us to fine-tune the tool within hours, not weeks.

Lessons Learned & Next Steps

AI Empowers, Doesn’t Replace

Developers remain central—AI handles routine checks so humans tackle design and architecture.
Iterate on Your Rules

Continuously refine your AI’s rulesets and model settings as your codebase evolves.
Measure & Visualize

Track metrics (productivity gains, bug catch rate, review times) to demonstrate ROI and keep stakeholders aligned.

I’d love to hear how AI is reshaping your code reviews—share your experiences or questions in the comments below!

As well feel free to try Infinitcode.ai in alpha stage. Your feedback is greatly appreciated