The AI Coding Agent Blueprint: Cursor, Windsurf & Local LLM Playbook for Developers

A practical 8-chapter playbook for developers using AI coding agents. Get production-ready .cursorrules, CONTEXT.md and TDD prompt templates, an Ollama local LLM setup, refactoring and debugging pipelines, and security checklists. Stop hallucinated packages, context loss, and missing edge cases.

Is your AI coding assistant inventing packages, forgetting your rules, and leaving TODO placeholders behind?

The AI Coding Agent Blueprint is a hands-on technical playbook for developers who use Cursor, Windsurf, and Claude Dev-style AI coding agents and want consistent, production-quality results. Instead of generic prompting tips, it gives you a complete system: rules, context control, test-first generation, local models, safe refactoring, debugging, and security.

What’s inside

• Agentic IDE fundamentals: how context indexing, file-tree parsing, and context window limits decide the quality of AI-generated code, plus a scored IDE Configuration Rubric
• Production .cursorrules: a copy-ready rules file for Next.js App Router, TypeScript strict mode, Prisma and database boundaries, with guidance for Flutter and Dart
• Context window optimization: a CONTEXT.md template, interface-first context injection, and .cursorignore setup to beat “lost in the middle”
• Test-driven AI generation: a red-green-refactor prompt engine with edge-case coverage, API mocking rules, and zero-placeholder output
• Local LLM pipelines: run Ollama, DeepSeek-Coder, and Qwen Coder privately and cheaply, with quantization guidance, editor setup, and a local-versus-hosted routing policy
• Autonomous refactoring and migrations: characterization tests, codemods (AST transformations), and a phased pipeline for legacy code with no regressions
• Bug triage and root-cause analysis: a stack-trace analyzer prompt, cascading-failure isolation, memory leak diagnostics, and minimal reproductions
• Security and anti-hallucination controls: dependency verification, secret guardrails, prompt injection defenses, and a pre-commit AI code audit checklist

Also included: an execution checklist for every chapter, a one-page cheat sheet, a template index, and a buyer welcome guide. That’s 14,000+ words of actionable content.

Perfect for: full-stack developers, Next.js and TypeScript engineers, Flutter developers, indie hackers, technical founders, and freelancers who ship with AI pair programming.

Not for: complete beginners. You should be comfortable with Git, a terminal, and one modern framework.