THE JEV GUIDE · CURATED EDITION
Launch news, explanations, demos, and community projects around TypeSafe Jev, organized by topic. Every entry links back to its X source.
Curated selection · Not exhaustive · Updated manually
01 / EXPLORE
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A developer shares a prototype combining Swift/SwiftUI, Chromium engine, Apple Intelligence and TypeSafe Jev, noting it is not an AI browser but adds AI features throughout to improve the experience.
Using Jev to classify open PRs within a Langdock workflow.
A developer says they can finally build their dream app with Jev.
Marcel Pociot shares a project quality improvement idea: use Jev for semantic test assertions.
Wes Bos shares examples of generating dynamic UI from an existing design system with Jev, praising multi-step Jev usage.
A developer shares deploying Jev code to production, used in several places within a new feature, including checking if a lesson warrants a practice sandbox.
Ronald te Brake shares an experiment using Jev for semantic test ranking: with a +1,394/-39 diff, 852 test files assessed, only 17 selected to run, ~$0.41 Jev input cost, 98% fewer tests.
While discussing mizchi's flaker tool, the author asks whether Jev-like models could intelligently select and run test cases to reduce redundant tests. Link
A developer shares using TypeSafe Jev to quickly classify node types in a graph-based UX, enabling per-type animations without added latency or cost.
Claire Vo shares using TypeSafe AI's Jev model to group ~1,750 PRs, with 17,364 pairs judged as grouped, then themes labeled by Gemini Flash light, all for 9 cents via Vercel AI gateway.
A developer shares progress on exploring Jev's applicability in an app under development, tagged with Jev, TypeSafe and TypeSafeAI.
This post shares a real-world Jev commercialization case: analyzing 3 million replay events, capturing irritable clicks and JS errors, submitting 213 fix PRs, and embedding into the development pipeline to address R&D pain points.