Fix while
you sleep.
A production signal or Jira bug becomes a triaged, localized, self-verified, tenant-safe draft PR — automatically. You wake up to work that's already done and reviewed.
A “small” bug. A whole afternoon.
Toggle to see why — and what changes when AutoFix runs the lifecycle for you.
A slow human round-trip
Triage, find the code, understand the blast radius, write the fix, open a PR, wait for review. The work is minutes; the waiting is hours.
One fix breaks another tenant
A shared interface or config change ripples to Zydus or Emami silently — and mock-based tests never catch it until prod does.
The same bugs keep coming back
Fixes aren't captured as reusable knowledge. Every incident starts from a blank page — even when we've solved it before.
A bug goes in. A reviewed PR comes out.
One bug rides the line — red at intake, green as a draft PR. At the review station the full agent gate opens; then the part loops back to teach the line for next time.
Three things a generic bot can't copy.
Anyone can wrap an LLM around a diff. Our edge comes from data and structure a code-only tool will never have.
It fixes what actually broke in the field
Tracebit and PostHog hand us the real crash — exact file, line, session, app version, and how many devices hit it. The fix starts from evidence, not a guess at the repo.
It knows which tenant a “safe” fix will break
We model the monorepo's DI overrides and config inheritance, so a one-line change to shared code is scored READY / WARN / BLOCK per tenant — and every PR ships with a tenant-impact report.
Every merge makes the next fix faster
Merged and reverted outcomes flow back to the Learning Loop. The rule and the solved case enter the knowledge base, so the next similar bug retrieves the proven fix instead of starting from a blank page.
20h → 4.8h average
before human review
verdicts are calibrated
or self-host in your VPC
More than a fix. A platform.
AutoFix is the entry point — every pillar rides the same engine, evidence, and Learning Loop.
From signal to reviewed PR.
A Jira bug or prod signal becomes a localized, self-verified, tenant-safe draft PR — in under an hour. You review, you don't write.
Catch bugs, not nits.
Six specialized agents run in parallel; a judge dedupes overlapping findings and ranks comments by real impact.
The whole graph, not the diff.
Functions, types, callers, configs and tenant overrides — reasoned across the full repo so cross-file regressions surface before merge.
A queue that reflects reality.
Bugs ranked by real severity — affected tenants, device count, app version — pulled straight from field telemetry.
ranked by real-world impact
Failures become guardrails.
Outcomes feed back as patterns. Production failures are mined, clustered, and converted into permanent rules.
The brain is always on. The hands appear only when needed.
An always-on control plane watches for signals, triages and localizes — no toolchain, scales cheap. When a fix is warranted it spins a private, throwaway sandbox per bug that builds, tests, and opens the PR, then self-destructs. Many run in parallel; idle nights cost nothing.
Control plane · always-on
Ingest, dedup, triage, and graph-localize run 24/7 with no compiler — light, cheap, and continuous. It never blocks; heavy work is queued.
Ephemeral sandboxes · per bug
Each fix gets a private, network-restricted box that holds the toolchain, builds only the affected package, runs the tests red→green, opens the PR — then is torn down. One run can never touch another's.
Run where you run
Diflux Cloud for the fastest start, hybrid where the control plane is managed but your data stays in your infrastructure, or fully self-hosted in your own VPC. Your code never trains external models.
Less noise. More signal.
AutoFix reasons over far more context than a linter or a single-pass LLM — the real crash, the whole call graph, your tenant rules, and every fix it's shipped before.
A live graph of your repo, spinning in your head.
Functions, types, callers, configs and tenant overrides — reasoned across the whole graph, not just the diff. The hot nodes are exactly what your fix actually touches.
Proves red → green.
Every fix ships with a regression test the agent wrote and ran — failing before, passing after. A diff you can trust, not one that merely looks right.
before: ✗ fail
after: ✓ pass
✓ red → green · CI-gated
READY / WARN / BLOCK.
Before a shared-code fix merges, AutoFix scores its blast radius per tenant and attaches a tenant-impact report to the PR.
Localizes from prod.
Tracebit + PostHog give the exact file, line, session and device count — so the fix starts near-pinpointed instead of searching the whole repo.
Sharper every merge.
Merged and reverted outcomes train repo-specific rules. Production failures are mined, clustered, and converted into permanent guardrails.
Your code never leaves.
Run AutoFix in your own VPC with your own LLM provider. Code never trains external models. SOC 2 Type II and air-gapped deploys available.
The right model for every step.
Triage runs cheap, the fix runs on a frontier coding model, review on another — each step routes to its best model across frontier, open-source, and local, with automatic fallback. No vendor lock-in, and every step gets the model it deserves.
Bots read your repo. AutoFix sees prod.
Sentry Seer and Datadog Bits AI also localize from telemetry — the closest on that axis. AutoFix adds the multi-tenant impact gate, the multi-agent self-review + red→green verify, and Jira/Figma context, and stays self-hostable. Sweep AI turns tickets into PRs but reads only the repo — no prod signal. Pricing target $19–$39/dev/mo.
Built this quarter. And what's next.
Interactive PR Agent
Comment on the draft PR — the agent re-opens the branch, makes the change, re-runs CI, and pushes. A conversation, not a one-shot patch.
Preview patched app
One click builds the PR branch as a live web app and boots it in the dashboard — confirm the bug is gone before merge.
Install in two clicks. Or zero, if your CTO insists.
Start free on a single repo with the GitHub App. For air-gapped environments, deploy AutoFix into your own VPC.
GitHub App
Click “Install”, pick a repo, see your first reviewed fix in under 60 seconds.
Air-gapped VPC
Run AutoFix in your own AWS, GCP, or on-prem. Bring your own LLM provider.
Fix while you sleep.
Put your bugs on the line tonight. Wake up to reviewed, tenant-safe draft PRs — and a system that's a little smarter than it was yesterday.