Show HN: Archwhere – work alongside AI coding agents on an architecture map
I am a solo founder/developer, my agents shipping 30 PRs a week, couldn’t see which part of product they were changing; existing arch tools die because humans won’t maintain the model — so I made the agents maintain it. MIT license
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Source record
Recorded metrics
points · 1 votes
2026-11-01 16:15:26.673Z
cumulative since publication
Research analysis
Project record
Repository: tapaskar/archwhere. Source account: I am a solo founder/developer, my agents shipping 30 PRs a week, couldn’t see which part of product they were changing; existing arch tools die because humans won’t maintain the model — so I made the agents maintain it. MIT license
Observed adoption & comparisons
Source votes: 1 votes (Nov 1, 2026 UTC; cumulative since publication); previous same-scope observation: 1 (Nov 1, 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.