Show HN: Andon – Toyota Production System for LLM Coding Agents
LLM coding agents (Claude Code, Codex, etc.) have structural weaknesses: blind retry loops, volatile learning, silent spec drift, and gate gaming. These aren't bugs in specific models — they're properties of goal-optimizing systems. ANDON applies Toyota Production System principles to address this: - Jidoka (autonomation): auto-detect failures and block forward-progress commands (git push, deploy) - Kaizen (continuous improvement): force Five Whys root cause analysis, then standardize prevention
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Source record
Recorded metrics
points · 3 votes
2026-11-05 21:30:26.759Z
cumulative since publication
Research analysis
Project record
Repository: allnew-llc/andon-for-llm-agents. Source account: LLM coding agents (Claude Code, Codex, etc.) have structural weaknesses: blind retry loops, volatile learning, silent spec drift, and gate gaming. These aren't bugs in specific models — they're properties of goal-optimizing systems. ANDON applies Toyota Production System principles to address this: - Jidoka (autonomation): auto-detect failures and block forward-progress commands (git push, deploy) - Kaizen (continuous improvement): force Five Whys root cause analysis, then standardize prevention
Observed adoption & comparisons
Source votes: 3 votes (Nov 5, 2026 UTC; cumulative since publication); previous same-scope observation: 3 (Nov 5, 2026 UTC). These observations do not establish demand growth. Recent records to compare: “Show HN: Cerea – yet another self-hosted LLM chat front end” (Show HN, Nov 5, 2026); “Show HN: Lantern Lattice – the call graph from your compiler, for coding agents” (Show HN, Nov 5, 2026). Shared themes are navigation hints; they have not been verified as the same need or independent corroboration.
Adoption decision
Evaluate it against the tool or manual workflow it would replace. The stored record supports discovery; it does not yet establish reliability, lower operating cost or commercial adoption.
Unverified requirements
Not verified: license permissions, required hardware, installation steps, maintenance status and a representative task with its failure cases.
Next test
Choose one real task and a current alternative. Record the commit, environment, input, output, elapsed time and failure behavior; retain the result before recommending adoption.