DEV Community: Mona Hidalgo

I'm feeling better from having the Flu. I miss the laptops so much...

Mona Hidalgo — Sun, 29 Mar 2026 07:04:51 +0000

Mona Hidalgo

Mar 29

I Got the Flu. Still Recovering. But I'm Not Stopping. 💙

#webdev #ai #programming #javascript

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1 min read

I Got the Flu. Still Recovering. But I'm Not Stopping. 💙

Mona Hidalgo — Sun, 29 Mar 2026 06:54:44 +0000

Hey everyone! Quick personal update — I'm the solo developer behind Code Tracker AI™ - Complete Project Preservation & Digital Vault Platform, and honestly? The past month hit me hard. The flu knocked me completely off my feet and I'm still not 100% yet. 😷

But here's the thing — I'm still here, still building, and still pushing forward the best I can. 💪

🔧 What is Code Tracker AI™?
It's more than a debugging tool — it's a full digital vault and project preservation platform for developers. Beta testers are actively being added and there's still room for YOU.

📋 Want in? Join the waitlist!
Sign up and I'll personally email you everything you need to know about early access.

👉 [https://codetrackerai.com/]

Right now, your support honestly means more than ever. Being a one-person team while under the weather is tough, and knowing this community is behind Code Tracker AI™ keeps me going. 🙏

Drop a comment, say hi, ask questions — I'd love to connect and chat. Let's build something great together. 🚀

Kind regards,
Mona Hidalgo
Founder & Software Engineer
my email : mona@codetrackerai.com

Testers needed. Code Tracker AI is almost ready for release.

Mona Hidalgo — Fri, 13 Feb 2026 02:03:09 +0000

Code Tracker AI Early Access: What I Need From Testers

Mona Hidalgo ・ Feb 13

#webdev #ai #productivity #discuss

Code Tracker AI Early Access: What I Need From Testers

Mona Hidalgo — Fri, 13 Feb 2026 02:00:55 +0000

I recently posted that Code Tracker AI is opening early access — and I want to clarify what that actually means.

This is feedback-driven early access, not a marketing beta. The point is to get real developer workflows running through it and tune what matters.

(Here’s the original post for context: https://dev.to/monahidalgo/code-tracker-ai-is-opening-early-access-45ha)

What I need from testers

1) Install + run one real project scan

I want to validate that the first-run experience is clean, fast, and stable on real projects.

2) Use Code Books for a week

Code Tracker AI is built to help you capture real work and keep developer-owned documentation inside the IDE. I want to know:

Does it replace scattered notes?
Does it fit naturally into your flow?
What feels friction-heavy?

3) Tell me what to cut

I’m optimizing for signal over noise. I’d rather ship fewer insights that are genuinely useful than flood the UI with “AI output.”

What’s already working (real, end-to-end)

✅ Code Books panel

Collapsible sidebar + document management
Search
Split editor view (built like a proper IDE tool window)

✅ Real project intelligence

Real Git analysis (commits, branches, contributors)
Real project scanning (file counts, stack detection, dependency analysis)

✅ Auto-Notes + AI docs

Project overview + development timeline generated from real scans
Manual scan button + first-run auto-scan dialog
Progress UI that shows real analysis results during scan

If you want in

Join the waitlist here: https://codetrackerai.com/

If you do join, I’ll follow up with access + a short “what to test” checklist so you’re not guessing.

https://codetrackerai.com/

— Mona Hidalgo

Founder & Software Engineer

[Boost]

Mona Hidalgo — Wed, 28 Jan 2026 05:41:56 +0000

AI Insights: Where Do They Come From, Why They Exist, and Why They Matter at Enterprise Scale

Mona Hidalgo ・ Dec 12 '25

#ai #softwareengineering #programming #enterprise

Code Tracker AI is opening early access 🚀

Mona Hidalgo — Sun, 18 Jan 2026 07:44:15 +0000

I’m building Code Tracker AI, an AI-powered JetBrains IDE plugin that captures real development activity and turns it into structured Code Books, AI insights, and developer-owned documentation.

I’ve opened an early access waitlist for developers who want to:

Test the plugin early

Share direct feedback with the founder

Help shape how AI insights work inside the IDE

Influence features before public release

This is a feedback-driven early access, not a marketing beta.

👉 Join the waitlist here:
https://codetrackerai.com/

If you care about understanding your own work—not just generating code—I’d love your input.

Founder & Software Engineer
Mona Hidalgo
mona@codetrackerai.com

Code Tracker AI: Update on Release Timeline

Mona Hidalgo — Sat, 27 Dec 2025 02:11:14 +0000

I want to share a quick update on Code Tracker AI (CTAI).

At this time, CTAI does not have a public release date.

As development continues, new code ideas and core functionality are actively being designed and built into the plugin. Because of these ongoing additions, I’ve decided not to set a beta release prematurely.

2026 is the target year for a beta release, once the new features and architecture are ready to be evaluated properly.

Development is ongoing, and the project is moving forward steadily—just without rushing a release before it’s ready.

If you’d like to follow along or be notified when the beta opens, you can join the waitlist here:

👉 Join the waitlist: https://codetrackerai.com

Thanks for your interest and support.
— Mona Hidalgo
Founder Mix It Hub, LLC

[Boost]

Mona Hidalgo — Fri, 12 Dec 2025 10:22:08 +0000

AI Insights: Where Do They Come From, Why They Exist, and Why They Matter at Enterprise Scale.

Mona Hidalgo ・ Dec 12

#ai #softwareengineering #programming #enterprise

AI Insights: Where Do They Come From, Why They Exist, and Why They Matter at Enterprise Scale.

Mona Hidalgo — Fri, 12 Dec 2025 10:21:41 +0000

AI Insights: Where Do They Come From, Why They Exist, and Why They Matter at Enterprise Scale

Mona Hidalgo ・ Dec 12

#ai #softwareengineering #programming #enterprise

AI Insights: Where Do They Come From, Why They Exist, and Why They Matter at Enterprise Scale

Mona Hidalgo — Fri, 12 Dec 2025 10:20:21 +0000

AI Insights: Where They Came From, Why They Exist, and Why They Matter at Enterprise Scale

When developers hear the word “insights”, it often sounds vague—something attached to dashboards, charts, or analytics panels. But insights, in their real and original sense, are far more foundational to modern software development than most people realize.

This post breaks down what insights actually are, where they came from, why they exist, and why structured AI Insights are becoming essential for enterprise-level engineering teams.

What Are “Insights,” Really?

At their core, insights are interpretations of behavior, patterns, or signals that lead to actionable understanding.

In software development, insights answer questions like:

Why does this code behave unpredictably under load?
Where are performance bottlenecks actually coming from?
Which patterns are increasing technical debt over time?
What decisions led to this architecture—and are they still valid?

Raw data answers what happened.

Insights explain why it happened and what should change.

Where Did Insights Come From?

Insights did not originate with AI.

They evolved across multiple disciplines over time.

Cognitive Psychology (1950s–1970s)

Insight originally described moments of sudden understanding—when hidden structure becomes clear.

Business Intelligence (1980s–1990s)

Organizations began analyzing operational data to uncover trends. Dashboards emerged, but interpretation was still manual.

Observability & DevOps (2000s–2010s)

Logs, metrics, and traces improved visibility, but engineers still had to interpret signals themselves.

AI-Driven Insights (Today)

AI made it possible to interpret, classify, and prioritize signals automatically—turning complexity into structured understanding.

Why Do Insights Exist?

Human cognition does not scale at the same rate as software complexity.

Modern enterprise systems involve:

Thousands of files
Millions of lines of code
Multiple teams and services
Years of undocumented decisions

Insights exist to:

Reduce cognitive load
Preserve institutional knowledge
Detect patterns humans miss
Prevent repeat mistakes
Enable faster, safer decisions

Without insights, teams rely on memory and guesswork—neither scales.

Are AI Insights Powerful?

Yes—when designed correctly.

AI Insights are powerful not because they generate text, but because they:

Detect recurring architectural issues
Identify risky patterns before failures occur
Surface silent degradation over time
Translate complex technical signals into clear reasoning

At enterprise scale, this results in fewer regressions, faster onboarding, and stronger long-term maintainability.

Why Structure and Rules Matter

Unstructured AI output may sound intelligent, but it is inconsistent and difficult to trust.

Structured AI Insight systems rely on rules.

Rules provide:

Deterministic reasoning paths
Severity classification
Confidence scoring
Auditability
Repeatability across teams and time

AI enhances the system.

Structure anchors it.

Who Designed AI Insights?

AI Insights are not the invention of a single person.

They are the convergence of:

Software engineering best practices
Static and dynamic analysis
Observability platforms
Cognitive science
AI pattern recognition
Enterprise governance models

Final Thought

Insights are not dashboards.

Insights are not summaries.

Insights are understanding, captured at the moment it matters.

As systems grow more complex, the teams that succeed will not be the ones who move fastest—but the ones who understand best.

Written by

Mona Hidalgo

Founder & Software Engineer

References & Further Reading

IBM — What Is Data Analytics & Insights

https://www.ibm.com/topics/data-analytics

Google SRE Book — Monitoring Distributed Systems

https://sre.google/sre-book/monitoring-distributed-systems/

McKinsey — From Data to Insights

https://www.mckinsey.com/capabilities/quantumblack/our-insights

American Psychological Association — Definition of Insight

https://dictionary.apa.org/insight

I need software developers that use JetBrains IDEs. Why, you might wonder. (: https://dev.to/monahidalgo/join-the-beta-waitlist-jetbrains-plugin-for-ai-powered-code-fixes-and-note-tracking-i8

Mona Hidalgo — Thu, 04 Dec 2025 09:07:24 +0000

Join the beta waitlist: JetBrains plugin for AI-powered code fixes and note tracking

Mona Hidalgo ・ Dec 4

#ai #programming #productivity #architecture

Join the beta waitlist: JetBrains plugin for AI-powered code fixes and note tracking

Mona Hidalgo — Thu, 04 Dec 2025 09:04:54 +0000

🧠 How I Built a JetBrains Plugin That Tracks Code Fixes, Notes, and Developer Wellness
Most static analysis tools overwhelm developers with thousands of rules. I narrowed it down to 62 critical ones—things like null safety, concurrency, SQL injection, memory leaks, and error handling. Each rule comes with autofixes and AI-powered explanations: WHY + HOW + IMPACT.

But I wanted to go further. Developers don’t just write code—they think, plan, and troubleshoot. So I built a note editor inside JetBrains that lets you document your build process, track decisions, and auto-summarize your work.

Here’s a preview of what it looks like:

✍️ What’s Inside Code Tracker AI™
AI-powered code analysis with autofixes for high-impact rules

Note tracking and blueprint planning inside the IDE

Auto summaries of developer notes and decisions

Wellness metrics to help prevent burnout and optimize focus

I’m preparing for beta release, and I’m inviting developers to join the waitlist to become early testers.

👉 Sign up here

Feedback from beta testers will directly shape the roadmap—especially which rules, fixes, and note features matter most in real-world workflows.

💬 What I’d Love to Hear From You
Which code rules do you actually care about fixing?

How do you track your build decisions today?

What would make note-taking inside your IDE actually useful?

Thanks for reading—and if you’re curious, I’d love to have you in the beta.

Mona Hidalgo
Founder & Software Engineer
Mix It Hub, LLC
My email: mona@codetrackerai.com