Blog
Guides, deep dives, and insights on AI-assisted development, prompt tracking, and building a verified developer portfolio.
What Is AI Prompt Tracking and Why Every Developer Needs It
AI tools generate code, but there is no record of the prompts behind it. Prompt tracking changes that by linking every AI interaction to your git commits automatically.
Cursor vs Copilot vs Claude Code: Which AI Coding Tool Is Right for You?
A practical comparison of the three most popular AI coding assistants. We cover speed, accuracy, context handling, and how each stores session data locally.
How to Build an AI Developer Portfolio That Actually Gets You Hired
Recruiters want proof you can work with AI. Here is how to build a portfolio that shows verified AI contributions, not just self-reported claims.
Git Hooks for AI Prompt Capture: A Technical Deep Dive
How Qmmit uses post-commit and pre-push git hooks to automatically capture AI prompts, match them to commits, and sync to your profile without changing your workflow.
Why AI Attribution Matters for Open Source Projects
When 67% of job posts mention AI tools, proving your AI skills is no longer optional. AI attribution brings transparency to how code is actually written.
Verified AI Contributions: What They Are and How They Work
Every prompt linked to a real git commit SHA. Every contribution verifiable on GitHub, GitLab, or Bitbucket. Here is how verified AI contributions work under the hood.