Show HN: Hanesu – An experimental workflow layer for AI coding agents
Why Hanesu Hanesu is an experimental workflow layer for AI coding agents. It applies ideas from Harness Engineering to repository-level software work: instead of asking an agent to code from one long prompt, Hanesu gives it a visible process made of task files, phases, role handoffs, quality gates, and progress artifacts. Hanesu does not replace tools like OpenCode, Codex, Claude Code, or other agent runtimes.
- ▪Why Hanesu Hanesu is an experimental workflow layer for AI coding agents.
- ▪It applies ideas from Harness Engineering to repository-level software work: instead of asking an agent to code from one long prompt, Hanesu gives it a visible process made of task files, phases, role handoffs, quality gates, and progress a
- ▪Hanesu does not replace tools like OpenCode, Codex, Claude Code, or other agent runtimes.
Opening excerpt (first ~120 words) tap to expand
Why Hanesu Hanesu is an experimental workflow layer for AI coding agents. It applies ideas from Harness Engineering to repository-level software work: instead of asking an agent to code from one long prompt, Hanesu gives it a visible process made of task files, phases, role handoffs, quality gates, and progress artifacts. Hanesu does not replace tools like OpenCode, Codex, Claude Code, or other agent runtimes. It sits inside your repo and gives those agents a small control layer for moving through work more predictably. It is not meant for every task. For small, obvious edits, a direct prompt plus code search is usually faster.
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Excerpt limited to ~120 words for fair-use compliance. The full article is at GitHub.