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5 articles
A frank assessment of where code generation AI actually stands in 2026 -- from agentic harnesses to multi-agent architectures and what still needs to change.
A critical look at the hidden pitfalls of AI-assisted development -- from skipped tests and weakened assertions to scope creep and context rot -- based on real-world experience with Claude Code.
A CLI tool that compiles Claude Code skills into CLAUDE.md and AGENTS.md for more reliable agent behavior.
A curated collection of battle-tested Claude Code skills that provide basic agentic AI utilities in one box.
Learn how git worktrees enable true parallel AI agent workflows by giving each agent its own isolated workspace, eliminating context switching and file conflicts.