9 articles on AI Quality — programs, tooling, and delivery on Petralian.
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9 articles on AI Quality
Best forBuilders measuring whether their Cursor harness actually improves output
Do not build Phase 2 orchestration until Phase 0 data says so. Layer 4 feedback — CSV, footer Agents line, eval gate — plus weekly OpenRouter checks beat benchmark leaderboard anxiety.
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Best forSolo builders and small teams who want harness discipline without microservice overhead
Terminal-Bench harnesses look like separate products. On a production Shopify app I already had subagents, CI gates, and session rules. You keep model and mode control — the harness supports routing, tests, and memory gates, not autopilot.
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Best forBuilders comparing model cost versus quality with reproducible benchmarks
Anthropic's Fable 5 leads CursorBench 3.1 at 72.9%, but at $18 per task and 76 steps. I read the table for score per dollar, tokens, and steps, and where open models land.
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Best forBuilders feeding UI context to agents who want to understand prompt-injection risk
Design capture CLIs that dump outerHTML into SKILL.md files can smuggle instructions. Sanitize at the trust boundary before agents read the DOM.
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Best forBuilders who want the architecture behind an AI quality scoring engine
A practical breakdown of how Gravio turns repository signals into six-dimension scores, hard quality gates, and actionable remediation plans.
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Best forBuilders wiring AI quality checks into CI and release pipelines
Unit tests catch code failures. They do not always catch AI quality regressions. Here is how to add quality thresholds as a first-class release gate.
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Best forPlatform and engineering leads rolling AI quality scoring across multiple repos
A practical rollout framework for introducing Gravio across many repos without creating process fatigue, policy confusion, or noisy quality signals.
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Best forTeams running agent workflows who need a practical quality signal before drift becomes production risk
Your AI outputs can look great this month and degrade next month without obvious failures. Here is why drift happens and how to detect it before it reaches production.
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Best forBuilders exploring privacy-preserving AI quality scoring with Gravio
Most AI quality platforms ask you to trust them with your source code. Gravio takes a different path: encrypted scoring designed to keep plaintext out of the server path.
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