jev-review vs Roo Code

Jev Review does one job: code review. It splits that job into typed, bounded stages — a risk matrix, evidence selection across diff hunks, mechanism classification, severity scoring, and conditional reviewer routing — with orchestration kept in TypeScript and thresholds applied in code rather than the model. It handles both change review and complete-codebase scans, screens correctness, security, reliability, compatibility, and test coverage, and surfaces findings in a local dashboard bound to 127.0.0.1 that never serves environment files. Roo Code is scoped far wider: multi-agent orchestration for code generation and review, file editing, terminal control, Git integration, autonomous mode, and task routing, all inside VS Code with claimed local processing and customizable model deployment. But almost none of it exists yet — the site is an email signup and contact form, with no demo or downloadable extension. So the real difference is breadth vs. readiness. Jev Review is narrow and inspectable; Roo Code is broad and aspirational. If you want to read the review logic end to end and trust what it does, Jev Review wins simply by existing. If you want an all-in-one assistant that writes, edits, runs commands, and reviews, Roo Code describes that future — you just can't use it now.

Jev Review is free and MIT-licensed, but "free" excludes one real cost: you supply a TypeSafe Jev API key, so you pay that provider's usage directly. There's no hosted tier, no seat-based subscription, and no vendor SLA. Roo Code lists pricing as "contact," which for a pre-launch landing page effectively means no pricing exists — there's nothing to sign up for beyond email updates. That makes a straightforward price comparison impossible and makes the buying decision about risk instead. With Jev Review you can install it and start reviewing today at API-key cost. With Roo Code you can't evaluate cost at all: no tiers, no free trial, no per-seat or usage figure, and no published terms. For a buyer, one option is a known quantity (free software plus your own API spend) and the other is an unknown that may not ship on any particular timeline. If budget predictability matters, that asymmetry decides it.