Your agents write more code. Keep your engineers in control.
Give your team a workspace to understand changes, guide coding agents, and review the result. Evaluate DifVi against your own engineering workflow and technical requirements.
Agents write more of the code. Review has to keep up.
Industry research on AI-written code, not DifVi results.
companies had a serious security incident linked to AI-written code
Aikido · State of AI in Security 2026of developers always check AI code, though 96% don't fully trust it
Sonar · State of Code · Jan 2026What changes for your team
Engineers keep their map of the codebase
Every agent change is shown as the flow it touches, so the codebase stays familiar to the people who own it.
Leads steer the architecture
Spot the extra table or the duplicated logic, and send a precise instruction to the agent that wrote it.
Review and correction in one loop
Read the change, send feedback, and review the revision in the same place, instead of across tools.
Questions your evaluation should answer:
- Do reviews of agent-written changes take less time?
- Is there less rework after a change merges?
- Do engineers find the issues that matter before they ship?
Built for engineering teams
Everything an engineer gets in DifVi, plus what a team needs to review agent code together.
Shared team rules
One set of conventions your agents must follow, checked on every change for every engineer.
Review together
Hand a change to a teammate with the map, your notes and the agent's history attached.
Team review queue
See which agent changes are waiting for review across the team, and who has them.
Insights for leads
How much agent-written code gets reviewed, flagged and sent back, team by team.
How engineers use it today
Reviewing their own agent's work
An engineer opens the worktree their agent just changed and reviews it before anyone else sees it.
Reviewing a colleague's change
A reviewer opens a colleague's branch or pull request and reads it in flow order, against its real base.
Judging the workflow
A tech lead checks whether the team understands agent changes better and directs them more clearly.
Technical details
| Capability | Status | Details |
|---|---|---|
| Mac app | Live | Apple silicon and Intel. Closed beta. |
| Agents | Live | Claude Code, Codex and Cursor. Feedback goes to the session that wrote the change. |
| Flow map | Live | TypeScript and JavaScript (Next.js, Remix, Nuxt, SvelteKit, Express, Fastify, Hono, Koa, NestJS, tRPC; React, Vue, Svelte), Python (Django, FastAPI, Flask) and Go (Gin, Echo, Chi, Fiber, Gorilla), plus SQL and GraphQL. Any git repository, branch or pull request opens as a diff. Full list. |
| Browser notes | Live | Notes on the running app go to your local agent with the page and element. |
| AI features through DifVi AI | Live | Walkthroughs, summaries and Why? on lines. The model providers are set to zero data retention and never train on your code. |
| Risk checks | Live | Points out what to check before merging: security, data, money and code that breaks. |
| AI features on a local model you host | On request | Instead of DifVi AI, so the code those features read never goes to us. Local inference doesn't make DifVi an offline or self-hosted product. |
The map, rules and issues are worked out on each engineer's Mac and never use AI. AI features send the code they work on to DifVi AI, whose model providers are set to zero data retention and never train on your code. Details are in the privacy policy.
Talk to sales
Tell us about your team. We'll reply to set up a conversation about your team, stack, workflow and requirements.
Prefer email? Write to support@difvi.ai.