Turns a set of coding-agent skills into oxlint rules, using Jev to do the classification.
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export const DEFAULT_BASE_URL = "https://api.typesafe.ai";
export const DEFAULT_MODEL = "jev-latest";
export const API_KEY_ENV = "TYPESAFE_API_KEY";View in packages/engine/src/jev/types.ts
Staged code-review workflow with a local dashboard, where Jev judges code changes or a whole codebase.
Local-first MCP plugin giving Claude Code, Codex, Cursor and OpenCode structured code-quality scores (correctness, complexity, modularity, security) while they work. Sends focused diffs to Jev and keeps keys and code local.
Open source tool that scores every turn a coding agent takes against project rules that can't be codified into a linter, using Jev, then tells the agent what to fix.
Ohans Emmanuel (@OhansEmmanuel)Opencoldteadotai/abide on github.com211 starsRule breaks 1 in 13 turnsPer check ~300 ms
Command-line toolkit a coding agent can delegate judgment work to: ranking relevant files, checking a diff against its task and project rules, and triaging test failures or review comments. Each request runs one bounded typed workflow and returns a structured report.
Scores source-file quality by asking Jev a set of yes/no questions, runs the test command you already use, and turns uncovered paths into small queries a coding agent can work through. Scoring costs about a cent per megabyte of source; coverage needs no account, config file or hosted service.
supercorp-aiOpensupercorp-ai/supercov on github.com109 starsScoring cost ~1c/MB
A prose linter that flags signs of AI-generated writing, combining zero-dependency countable rules with one judgment model call.
