Beyond grep: The case for a context-rich AI coding harness
14 hours ago
- Recent AI coding developments focus on software managing models, not just the models themselves.
- Anthropic's Claude Code team maintains a 'lean harness' that avoids over-planning or limiting features due to rapid model improvements.
- A harness is the software layer between AI models and developer projects, controlling model inputs, actions, and code base interactions.
- Claude Code trusts models to guide future development rather than imposing rigid opinions.
- Other harnesses include OpenAI's Codex, Google's Antigravity, open-source OpenCode, and startup options like Cursor or Augment Code.
- Claude Code deliberately avoids pre-building structured context around codebases by default, as evaluations show no measurable benefit.