erashu212

9 ms·

1.
Show HN: We built governed multi-agent teams months before Anthropic announced(github.com)
1 points by erashu212 7mo ago|0 comments
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by erashu212 7mo ago
Everyone's debating whether Google's TOS is fair. The real issue is that we're building entire development workflows on subsidized inference that was never priced to be used this way. OpenClaw burns tokens at a rate these $20
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by erashu212 7mo ago
Anthropic just showed the market that AI can find security vulnerabilities. Rigour goes deeper — SOLID violations, design smells, architectural debt. The stuff that doesn't crash your app today but kills your velocity in 6 months.
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Show HN: Rigour – Open-source quality gates for AI coding agents(rigour.run)
2 points by erashu212 7mo ago|1 comments
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by erashu212 7mo ago
The bans are treating the symptom. The root cause is that AI coding agents optimize for output that looks correct over output that fails safely. I audited the OpenClaw codebase before the bans started — structurally it's impressive, cl
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by erashu212 7mo ago
Interesting framing. The runtime interception approach makes sense for catching dangerous syscalls in real-time. There's a complementary angle though — gating the code quality before it ever runs. When I audited the OpenClaw codebase,
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by erashu212 7mo ago
I ran a similar audit two weeks ago using a different methodology — deterministic quality gates rather than traditional CVE scanning. The interesting finding wasn't the security vulnerabilities (Cisco's 512 CVEs cover that). It wa