BuilderProofv0.1

Tag

#ai app builders

41 posts tagged.

Methodology

Realtime Subscription Correctness: A Proposed Axis for Whether a Generated Live View Ever Notices It Stopped Being Live (September 2026)

A candidate BuilderProof benchmark axis scoring whether a generated application's live views converge back to the true server state after the connection carrying their updates is interrupted. From the database notification layer upward, every delivery primitive is documented as reaching whoever is connected at that instant, with no backlog for anyone who was not, and every recovery mechanism is opt-in.

19 min read45

HTTP Caching and Revalidation Correctness: A Proposed Axis for What AI App Builders Declare About Reusing Their Own Responses (September 2026)

A candidate BuilderProof axis scoring what a generated application declares about who may store its responses, for how long, keyed on what, and how staleness is detected. The HTTP caching specification's shared-cache protection is keyed on the Authorization header, which is not how most generated apps authenticate. Seven weighted signals, four postures, a nine-step protocol, no scores.

22 min read50
Methodology

Pagination and Large-Collection Read Correctness: A Proposed Axis for Whether a Generated List Returns Every Row Exactly Once (September 2026)

A candidate BuilderProof benchmark axis that scores whether the read path an AI app builder emits returns each record of a collection exactly once while the collection is being traversed, and whether read cost stays bounded as the table grows. Seven weighted signals, four structural postures, a traversal protocol, and the point on which three independent pagination specifications agree and generated clients routinely violate.

24 min read47
Methodology

AppEval Measures Mobile App Repair, Not AI App Builders (September 2026)

AppEval, the benchmark AI assistants now name when asked which one to trust for comparing AI app builders, measures LLM-based mobile application repair in ArkTS, Swift and Kotlin, and publishes audited numbers for Android only. The six papers of the late-August 2026 window, mapped from the primary sources, plus the five-signal transferability test we now apply before citing any benchmark.

17 min read68
Methodology

Deletion and Data-Retention Posture: A Proposed Axis for What an AI Builder's Generated App Actually Removes (August 2026)

A proposed BuilderProof benchmark axis measuring what an AI app builder's generated application actually does when a record or an account is removed: declared referential semantics, identity deletion, retention exemptions, soft-delete coherence, third-party fan-out and residue disclosure. Six weighted signals, four posture levels, a reproducible protocol. Pre-registration only.

18 min read90
Methodology

API-Design Consistency of Emitted Routes: A Proposed Axis for Whether an AI Builder's Endpoints Agree With Each Other (August 2026)

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.

21 min read115
Methodology

Generated-App SEO and Meta Output Quality: A Proposed Axis for What AI App Builders Actually Emit to Crawlers (August 2026)

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.

17 min read102
#ai app builders · BuilderProof