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Picking a tool is the easy part. Getting reliable, safe, affordable results out of it is where the real work lives. This section collects the patterns that hold up in production — how to prompt, how to bound the blast radius, how to know whether your agent actually works, and how to keep the bill in check.
If you only read three, start with Prompt Engineering, CLAUDE.md Best Practices, and Context Management — they compound into everything else.
Practical patterns for getting better results from AI coding agents.
How to write an effective CLAUDE.md file for your project.
The context window is your scarcest resource. How to use it well.
The practice of high-level, intent-driven development with AI agents.
Strategies for verifying code written by AI coding agents.
How to measure whether your agent actually works — benchmarks, evals, regression detection.
Tracing, logging, cost accounting, and eval telemetry for agent pipelines.
How to bound the blast radius — allow/deny rules, sandboxing, approval modes.
Prompt injection, data exfiltration, PII, secret scanning, supply chain risks.
Running agents in CI — non-interactive mode, PR review bots, budget guards.
Strategies for reducing LLM API costs in agentic coding and production pipelines.
Shaving time off agent responses — streaming, parallel tool use, prompt compaction.