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Four views cover most of what your team touches: the plan you approve, the run that does the work, the review that tries to break it, and the dashboard that tells you whether any of it is paying off.

Fix duplicate invoice emails on retry

Ready for review ENG-2184 billing-service · codebeast/fix-invoice-retry-dedupe · +148 −37 · 6 files · 11m 20s
✓Plan drafted — 6 files, 1 migration, 2 risks flagged0:12
✓Approved by @priya with one amendment1:04
✓Environment ready — prowler-4x, staging DB cloned1:47
✓Unit suite — 412 passed, 0 failed4:28
✓Browser walkthrough recorded — 7 assertions7:33
✓Adversarial review — 2 issues found, both patched10:51
●Awaiting human approval — PR #1043now
Diff preview · workers/invoice_retry.rb
- Mailer.invoice(order).deliver_later
+ return if RetryLedger.claimed?(order.id, attempt)
+ RetryLedger.claim!(order.id, attempt)
+ Mailer.invoice(order).deliver_later
  rescue Redis::TimeoutError => e
Evidence bundle
▶
walkthrough.mp4 · 1:04
plan.mdrun.logreview.json

Run detail — the plan, the timeline, the diff and the proof in one place. Reviewers approve from here.

Plan · Fix duplicate invoice emails on retry

Awaiting approval ENG-2184 Nothing is written to a branch until this plan is approved. Edit any step inline.
1Add RetryLedger — claim table keyed on order + attemptnew file
2Guard the retry worker — skip send when the attempt is already claimedworkers/
3Handle Redis timeouts — release the claim so a genuine retry still sendsworkers/
4Migration — retry_claims, shipped ahead of the code that reads itdb/
5Tests — duplicate suppressed, partial refund still sends twicespec/
6Browser check — resend an invoice from the admin panele2e/
Risks the agent flagged itself
Split shipments send two invoices legitimatelyMedium

Keying on order alone would suppress a valid second send. Using a compound key instead.

Migration locks a hot tableLow

Adding the index concurrently; needs a deploy window confirmation from you.

Approval
✓Scope looks right — 6 files, 1 migration
✓Estimated 12 min on prowler-4x
?Deploy window for the migration
Approve & run Request changes

Plan review — the agent shows its work before it writes any. Edit steps, push back on risks, or let low-risk plans auto-approve.

Adversarial review · run #4821

2 found · 2 fixed A second model reviews the change with one instruction: find the flaw. The author model cannot approve its own work.
Claim is written before the send, never released on failure.Blocking

If Redis times out after the claim but before the mailer enqueues, the invoice is permanently suppressed — the customer never receives it and no retry can recover. Silent data loss, not a crash.

workers/invoice_retry.rb:41reproduced in sandboxpatched → re-reviewed
Test asserts the count, not the recipient.Non-blocking

The spec passes if exactly one mail is sent, even to the wrong address. Tightened to assert recipient and invoice ID so a future refactor can't slip past it.

spec/workers/invoice_retry_spec.rb:88patched → re-reviewed
Checked and cleared: partial refunds still send twice.No issue

The reviewer specifically tried to break the split-shipment path flagged in the plan. Compound key holds — second legitimate invoice still goes out.

e2e/refund_split.spec.tswalkthrough 0:38

Adversarial review — findings, reproductions and what the reviewer deliberately tried and failed to break.

Delivery

Last 30 days Every figure links back to the runs behind it.
Merged238▲ 31 vs prev
Median cycle18m▼ 6m faster
First-pass accept81%▲ 4 pts
Cost / merged PR$3.12▼ $0.74
Merged vs revised, by week
Merged first passNeeded revision

Delivery dashboard — throughput, acceptance rate and true cost per merged PR, drillable down to a single run.

74%of routine tickets closed without a human touching the branch
18 minmedian time from ticket assigned to PR opened
3.4×more work shipped per engineer on maintenance-heavy repos
0agent commits merged without a passing evidence bundle
The loop

Four stages. One handoff from you.

Most coding tools stop at the diff. CodeBeast keeps going — it owns the boring middle of the software lifecycle so your engineers only show up for the parts that need judgement.

01

Intake

Drop in a Jira ticket, a GitHub issue, a Slack thread, a screen recording, or three messy sentences. CodeBeast reads the repo, the docs and the recent commits before it asks a single question.

→
02

Plan

It writes a plan you can actually argue with: files it will touch, migrations it needs, risks it sees. Approve it, edit it, or let it split into sub-tasks handed to parallel agents.

→
03

Build

Every run gets a private cloud machine with your stack cloned onto it — services up, seeded database, secrets scoped. The agent writes, runs, breaks and fixes in a real environment, not a guess.

→
04

Prove

A second, adversarial model reviews the work with one job: find the flaw. Browser runs are recorded. The PR arrives with the plan, the diff, the test output and the video stitched together.

Evidence, not vibes

Every pull request ships with its receipts.

The reason teams distrust agent output is that they can't see the work. CodeBeast attaches the whole trail — so review takes two minutes instead of twenty.

  • Adversarial review pass. A separate model with a separate prompt tries to break the change before you ever see it.
  • Recorded browser runs. Real Chromium, real clicks, video attached — so "it works" is a thing you can watch.
  • Full decision log. Every command, every retry, every dead end, timestamped and searchable.
  • Blast-radius summary. What changed, what it touches downstream, and what to watch after deploy.
Scope

What to hand it — and what to keep.

Agent tools tend to promise everything and then disappoint on the specifics. Here is the honest version, based on what actually merges. Teams who start on the left column build trust fast; teams who start on the right conclude the whole category is hype.

✓

Hand it these

Well-specified work with a clear finish line.

  • Bugs with a reproduction. A stack trace, a failing case or a Loom is usually enough to go from ticket to merged fix unattended.
  • Test coverage. Backfilling specs on untested modules, converting brittle assertions, killing flakes that have been muted for a year.
  • Upgrades and dependency work. Framework bumps, deprecation sweeps, security patches across every service at once.
  • Mechanical migrations. The same change in 300 files — where a human gets bored at file 40 and starts making mistakes.
  • CRUD and plumbing. Endpoints, schema changes, admin screens, integrations that follow a pattern already in the codebase.
—

Keep these

Work where the hard part isn't the code.

  • Greenfield architecture. Choosing the shape of a new system is a judgement call with years of consequences. Have the argument yourselves.
  • Ambiguous product work. If two engineers would build it differently and both be right, the ticket isn't ready for an agent.
  • Performance work needing real traffic. It can profile and propose, but load-shaped intuition on production data is still yours.
  • Live incidents. Use it for the follow-up fix and the regression test, not for the thing at 3am with the pager going off.
  • Anything with no way to verify it. If there's no test, no browser path and no reproduction, the evidence bundle is empty — and evidence is the whole point.
Capabilities

Built like a senior engineer, not a chat box.

An opinionated harness around the models — the scaffolding that turns raw capability into something you'd let near main.

Dedicated machines per run

No shared sandbox, no noisy neighbours. Each task boots its own instance with your services, your seeded data and your toolchain, then tears itself down when idle.

Adversarial review

The model that writes the code never gets to approve it. A rival reviewer hunts for regressions, missed edge cases and lazy shortcuts, and sends work back until it holds.

Real-browser QA

UI work gets exercised the way a person would: navigate, click, type, assert. Failures come back as a video and a reproduction, not a stack trace nobody reads.

Point-and-describe feedback

Our browser extension lets anyone circle an element on a live page, type what's wrong, and send it straight into a run — with the DOM, styles and screenshot bundled automatically.

Parallel sub-agents

Big tickets get decomposed and fanned out — schema, API, client and tests progressing at once, then merged and reconciled by a coordinator that owns the whole picture.

Model-agnostic by design

Route planning, coding and review to whichever frontier or open model does each job best today — and swap them tomorrow without rewriting a single workflow.

Self-healing runs

Flaky test? Missing dependency? Broken migration? The agent diagnoses and retries with a different approach instead of dumping a red build in your lap.

Your perimeter, your rules

Scoped tokens, ephemeral secrets, IP allowlists, branch protections honoured, and a full audit trail. Bring your own cloud account if compliance says so.

Delivery reporting

See throughput, revision rates, cost per merged PR and where agents keep getting stuck — so you can tune the harness instead of guessing at ROI.

Connections

It only works if it knows what you know.

Connect the systems that hold your team's context. CodeBeast reads them the way a new senior hire would — then keeps reading as things change.

Missing something? Anything with an API can be wired in through custom connectors or MCP.

In production

What teams do with the time back.

"We stopped triaging the small stuff. Dependency bumps, flaky tests, copy fixes, that whole tail of tickets nobody wants — it just clears overnight now. Our seniors are back on the roadmap."

RM
Rohan MehtaVP Engineering, ledgerloop

"The recorded browser run changed the conversation internally. Reviewers went from 'I don't trust this' to watching a 40-second clip and hitting approve. Trust came from the evidence, not the marketing."

AK
Aisha KarimStaff Engineer, Northwind Health

"We were sceptical about agents on a fifteen-year-old Rails monolith. Six weeks in it has merged 200-odd PRs and hasn't caused a single rollback. That's a better record than some contractors."

DS
Daniel SouzaCTO, Fielded
Questions

Before you connect a repo.

Request a demo

Bring the ticket you've been avoiding.

Thirty minutes, your stack, a real task. We'll connect a sandbox copy of one repository, run something you pick, and walk through the pull request together — plan, evidence and all.

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  • Straight answers on security, data handling and deployment options
  • An honest read on which of your workloads this suits — and which it doesn't
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