AI Coding Cookbooks

Practical workflows that show how to use modern coding agents, APIs, and local stacks for real engineering tasks.

Featured workflows

All cookbooks

Updated Feb 25, 2026

Claude Code workflow for large repository refactors

Goal Refactor highimpact code safely without losing observability. Recommended execution pattern 1) Start from a scoped spec Write a short spec in CLAUDE.md with: objective nongoals files in scope pass/fail te...

Tools: claude-code, aider

Updated Feb 25, 2026

OpenAI Codex API agent loop for implementation tasks

Objective Use API calls to run a structured coding loop with explicit validation gates. Loop design Stage A: Plan Prompt for: impacted modules implementation sequence test commands expected failure modes Sta...

Tools: openai-codex, openai-api

Updated Feb 25, 2026

Cursor Cloud Agent workflow for multi-file refactors

Outcome Ship a safe refactor in one branch with: an explicit plan bounded change scope runnable validation steps reviewready pull request notes Prerequisites Cursor installed and authenticated Repository check...

Tools: cursor, github-copilot

Updated Feb 25, 2026

Gemini API tool-grounding workflow for coding assistants

Use case Build a coding assistant that answers with grounded, sourcelinked recommendations. Architecture 1. Query intake 2. Context retrieval (repo + docs) 3. Tool execution (search, file reads, tests) 4. Structured ...

Tools: gemini-api, google-gemini-code-assist

Updated Feb 25, 2026

Local coding stack with Continue and Ollama

Why this stack local execution controllable model selection low latency for everyday edits Setup outline 1. Install Ollama and pull coding model(s) 2. Install Continue extension in VS Code or JetBrains 3. Configur...

Tools: continue