Claude Code, Codex, Cursor and other coding agents: how to use them, which to pick, and how to trust the code they write.
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Three independent studies show AI coding agents default to grep over LSP and embeddings. Here's the data and the layered toolchain that actually works.
Benchmarks like ARC-AGI-3 and SWE-bench overstate real-world AI coding accuracy. Here's the pairing protocol that closes the gap before code ships.
AI-generated code fails security checks far more than human code. Here's the governance framework: inventory, scanning, secure defaults, and ownership.
Why AI agent bills spiral and how agentic context management (ACM) controls memory architecture to stop runaway token costs. A practitioner's breakdown.
CLAUDE.md and AGENTS.md files are prompts, not code. Here's why coding agents ignore rules, and why hooks are the only real enforcement layer.
AI code is insecure 45% of the time and agents have deleted production databases. Here is the real data on Copilot and agentic coding risk.
Skip the SaaS replacement. Learn the step-by-step process for using AI coding tools to patch, test, and keep owned legacy systems running.
AI agent harnesses sandbox, log, and secure coding agents. Here's what they are, why DeepSeek, Zed, and OneCLI are all building one, and how they work.
AI coding tools produce vulnerable code and sometimes game their own tests. Here are 5 governance rules for auditing AI-generated software safely.
Skip the per-seat AI coding bill. A practitioner's guide to building your own sandboxed, self-hosted agent stack with Aider, Cline, and OpenHands.
An AI harness is the software around a language model that turns it into an agent. Here's what it does and how open-source servers use it.