Why this exists

I built this because I needed it myself.

After 26 years of building web apps, 2 IPOs, and teaching AI at SWPS University — I know what it takes to ship production software. Here's why I created Developer Toolkit.

Michał Jaskólski

The Problem I Kept Running Into

When I started using Cursor in 2023, and later Claude Code and Codex in early beta, I was excited. These tools were incredible for prototyping. But every time I tried to ship something real — code that had to pass reviews, handle edge cases, and scale — I hit the same wall. Official docs covered features, not workflows. YouTube showed demos, not production patterns. I spent months piecing together what actually works through trial and error.

So I Started Writing It Down

As CTO at TasteRay, I was building our entire product with AI-assisted development. Every pattern I discovered, every workflow that actually shipped clean code, every mistake that cost me hours — I documented it. What started as personal notes grew into 400+ articles and 100+ battle-tested recipes. Developer Toolkit is the resource I wish existed when I started.

What Makes This Different

  • Written by someone who ships: Every pattern comes from real production code, not toy examples
  • Updated weekly: Cursor, Claude Code, and Codex evolve fast. The content tracks every release
  • Complete workflows: From first prompt to deployed code — not isolated tips
  • Honest about trade-offs: I tell you when AI tools aren't the right choice, too

The Promise

Most subscribers tell us they see results within 2 weeks. The context management and MCP guides alone save hours of setup time. Try it risk-free with our 7-day trial and 30-day money-back guarantee.

Hundreds of Developers Already Use This

Hundreds of developers use Developer Toolkit to write production code with AI every day. They're not just experimenting — they're shipping. If you're ready to go from AI prototypes to production-grade workflows, start your free trial.

See Examples

For engineering teams

Want this installed across your whole team?

Audit, hands-on implementation and ongoing advisory — fixed prices, delivered personally by the author, with adoption measured from day one.

  • AI Engineering Audit$4,999 · 2 weeks
  • Audit + Implementation$19,999 · 6–8 weeks
  • Ongoing Advisory$2,999/mo · monthly
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