Prompting Guides
A curated collection of 7 prompting guides for building with AI coding agents.
AI Coding Agents in 2026: The Open-Source & CLI Edition
Cursor and Windsurf vs the open-source agents — Cline, Aider, Codex CLI, Roo Code, and more. Who should bring their own model, and when to stay in the terminal.
Context Engineering
Treating the context window as a finite budget — what to load, what to leave out, and when to reset.
Cursor vs Claude Code vs GitHub Copilot vs Windsurf in 2026
A practical, opinionated comparison of the four mainstream AI coding tools — form factor, agentic depth, model choice, and who each one is for.
Programmatic Prompt Optimization with DSPy: Stop Hand-Tuning Prompts
Hand-tuning prompts doesn't scale. DSPy treats prompting as programming — declare tasks as typed signatures and let an optimizer compile the prompts for you.
Effective Tool Use: Scoping an Agent's Toolset
How to scope tools and permissions so an agent reaches for the right one and can't do damage.
Prompt Patterns for Coding Agents
Practical prompting patterns: chaining, few-shot, context management, tool use, and output structuring.
Few-Shot vs Chain-of-Thought vs Structured Prompting: What to Use When (2026)
When to reach for few-shot examples, chain-of-thought reasoning, or structured/output-constrained prompting — a 2026 decision guide to the core techniques.