Spec-Driven Development: how to build software with AI agents while staying in control
A methodology for using AI coding agents on real projects without losing control of what gets built and why.
Most guides tell you to use AI tools. This one tells you how. Practical methodology for experienced developers: spec-driven development, agent setup, documentation verification, and learning faster without the noise.
A methodology for using AI coding agents on real projects without losing control of what gets built and why.
A five-tier taxonomy for organizing Cursor rules: constitution, rules, skills, engineering docs, and CI. More rigorous than anything currently documented.
How to structure a team that uses AI coding agents day-to-day - shared knowledge, agent instruction files, human workflow, design control, and governance.
Coming soonWhat goes in CLAUDE.md, AGENTS.md, and GEMINI.md - and how to write agent instructions that actually work across different tools.
Coming soonHow to configure a repository so it works well with Claude, Cursor, Gemini, and whatever comes next - without rewriting your setup every six months.
Coming soonDocumentation describes what a tool is supposed to do. Source code describes what it actually does. Here is how to use Claude to read the source before you commit to building on top of a tool.
A repeatable technique for checking whether documented features work as described - before you build on top of them.
Coming soonThe connector docs claimed upsert support. A Claude scan of the source code found a bug in the CDC delete-then-insert path before a line of implementation code was written.
The official Debezium docs were written for Postgres. Here is how AI helped find the Oracle-specific gap and implement a working fix.
Coming soonAI tools are often taught as if everyone is starting from scratch. Here is how experienced developers should actually use them.
Coming soonHow to use NotebookLM to summarize videos, generate mind maps, and extract what you actually need in a fraction of the time.
How to identify exactly what you don't know, fill only that gap, and stop wasting time on things you already understand.
Coming soonPractical techniques for using AI as a learning accelerator - not just a code generator - when picking up a new technology or skill.
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