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68 posts tagged.
A candidate BuilderProof benchmark axis that scores whether the code AI app builders emit stays correct when two writes to the same record overlap. Rubric, four posture levels, a reproduction protocol, and an open call for comment.
A candidate BuilderProof benchmark axis that scores whether the HTTP surface an AI app builder emits is internally coherent across every endpoint: one error shape, uniform status-code semantics, one addressing scheme, consistent collection semantics, and a machine-readable contract. Divergence-based scoring, four documented postures, a probe-sweep protocol, and an open call for comment.
A candidate BuilderProof benchmark axis that scores the crawler-facing artifacts AI app builders emit by default: per-route titles, canonicals, social cards, robots.txt, sitemap.xml, structured data, and whether route content reaches a crawler at all. Rubric, four rendering postures found in the vendor docs, a dual user-agent reproduction protocol, and an open call for comment.
A candidate BuilderProof benchmark axis that scores whether the code AI app builders emit validates untrusted input at the server boundary, or trusts whatever the client sends. Rubric, four posture levels, an adversarial-payload reproduction protocol, and an open call for comment.
A proposed BuilderProof benchmark axis measuring whether the code an AI app builder emits can actually build, run, and be self-hosted off the vendor platform, not just be exported.
Dates are the bug that ships silently: correct on the builder's clock, wrong for everyone else. A proposed, reproducible axis for scoring how AI app builders handle time zones, UTC storage, and daylight saving.
A candidate BuilderProof benchmark axis that scores the static type safety of the code AI app builders actually emit, measured from the untouched export with no runtime. Rubric, reproduction protocol, and an open call for comment.
A neutral, reproducible methodology proposal: how to measure whether AI app builders ship request throttling and brute-force protection by default, and where that protection actually lives.
State-handling completeness is a proposed BuilderProof benchmark axis (August 2026) that scores how well an AI app builder generates the non-ideal runtime states of the apps it produces: loading, empty, and error states. It is a 20-point axis across five sub-criteria, measured reproducibly by giving all five commercial builders (v0, Lovable, Replit, Base44, Bolt.new) an identical fixed prompt and then inspecting the generated app under a throttled network, an empty account, and a forced request failure.
Quick answer (August 2026): none of the five commercial AI app builders (v0, Lovable, Replit, Base44, Bolt.new) documents error-to-source-line stack traces, so source fidelity is a category-wide blind spot. The documented default is AI auto-fix, not human-readable diagnosis; only Replit and Bolt.new document terminal or shell access. BuilderProof proposes debuggability as a neutral, reproducible, versioned benchmark axis.
A neutral, reproducible benchmark axis scoring how five AI app builders document database migration and schema-change safety, as of August 2026.
A neutral, documentation-based benchmark axis for whether AI app builders commit to dependency and supply-chain hygiene, scored across v0, Lovable, Replit, Base44, and Bolt.new (August 2026).
