An AI coding agent for finished fixes

Give ZeroTwo the bug. Get back the tested patch.

Bring the specification, failing code, and tests. ZeroTwo investigates the root cause, makes a scoped change, runs the checks, and returns the artifacts your reviewer needs.

What you provide

Define a fix that can be verified

The clearest coding tasks include the current behavior, the intended contract, and an executable way to tell whether the change worked.

Specification

State the required behavior, public interface, constraints, and parts of the codebase that must remain unchanged.

Code and reproduction

Provide the smallest safe workspace or fixture that demonstrates the problem without exposing secrets or unrelated private code.

Tests and commands

Share the existing checks, expected failures, runtime assumptions, and exact commands the agent should run.

How the work gets done

From failing behavior to reviewable evidence

ZeroTwo works against the contract and returns the change with the evidence used to judge it.

  1. Reproduce the defect

    Run the supplied test or reproduction first so the baseline failure is observable.

  2. Find the root cause

    Inspect the relevant code path and explain the cause before changing the implementation.

  3. Make the scoped fix

    Preserve the requested interface and avoid dependencies, redesigns, or unrelated refactors outside the brief.

  4. Run and package the evidence

    Execute the checks and return the corrected files, patch, raw results, and release notes for review.

Example deliverable

Acorn pricing fix: production in review

This synthetic fixture contains a reproducible pricing defect and eight deterministic tests. No preview or download will appear until a recorded ZeroTwo run passes review.

Proof in review

The synthetic fixture and acceptance checks are ready. Preview and download links stay disabled until the original ZeroTwo files pass review and receive approval.

No example file published

Available after review
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Inside the deliverable

The fix and the evidence to review it

A coding task is not finished when code appears. The reviewer needs the change, its boundaries, and the checks that ran.

  1. Corrected code and tests

    The implementation and test files preserve the supplied public interface and cover the required behavior.

  2. Unified patch

    A focused diff makes the exact code and test changes easy to inspect.

  3. Raw test results

    Command output records what ran and whether the expected checks passed.

  4. Release notes

    A concise explanation covers the visible defect, root cause, fix, validation, and remaining deployment boundary.

Proof you can inspect

Engineering proof should survive inspection

The public example remains unavailable until the fixture, patch, and test evidence pass the same review.

Provenance

  • Synthetic fixture

    Acorn, its pricing rules, and the dependency-free code are ZeroTwo-created demonstration materials, not customer or private repository code.

  • Recorded commands

    A publishable run must preserve the executed commands, runtime version, raw test output, and original generated files.

  • No deployment claim

    Passing a bounded fixture is evidence for that fixture. It is not proof that a change was deployed or is production-safe everywhere.

Validation

  • Baseline reproduced

    Reviewers confirm the supplied fixture begins with three passing and five failing tests.

  • Contract preserved

    The corrected module must keep the exported function name and input shape while satisfying the supplied pricing rules.

  • Focused patch

    The final evidence must show eight passing tests, no new dependencies, and no unrelated code, credentials, or local paths.

What to expect

Bound the workspace and the expected checks

This is a paid or credit-backed Work task, not the sponsored report workflow. Usage varies with repository size, tools, commands, and revision rounds.

Access
Paid or credit-backed WorkNo free coding run or unlimited repository work is promised here.
Scope
Small, testable tasks firstA bounded defect with a reproduction gives the agent and reviewer a clearer finish line.
Approval
Review before merge or deployTreat returned code and command output as engineering work that still needs your normal review and release process.

Never include secrets, production credentials, customer data, or unrelated proprietary code in a public proof task.

A factual comparison

A coding answer versus a finished engineering handoff

The important difference is whether the task returns only suggested code or the artifacts needed to review the change.

A coding answer versus a finished engineering handoff
CriterionZeroTwo workflowAnswer-only workflow
Starting pointSpecification, workspace, reproduction, tests, and limitsA question or isolated code excerpt
DiagnosisReproduce the failure and identify the root causeSuggest a likely change from the visible context
Finish lineCorrected files, patch, raw test results, and release notesCode or guidance that still needs to be applied and verified
Release boundaryReviewable artifacts; no automatic deployment claimReviewer must reconstruct the implementation evidence

A successful result still requires code review, security review where applicable, and your normal merge and deployment controls.

Questions before you start

What people ask

What should I give an AI coding agent?

Provide the expected behavior, the smallest safe code context, a reproducible failure, relevant tests, exact commands, and a clear list of changes that are out of scope.

Will ZeroTwo deploy the fix?

No deployment is promised on this page. The representative outcome is a reviewable implementation package for your normal engineering process.

Does passing the tests prove the change is production-safe?

No. Tests provide scoped evidence. Production readiness may also require code review, security checks, integration tests, performance validation, and a controlled release.

Is the Acorn example from a customer repository?

No. It is a synthetic, dependency-free JavaScript fixture created for a reproducible demonstration.

Is this coding workflow free?

No sponsored coding run is promised. It uses the paid or credit-backed Work experience; check current pricing before starting.

From defect to tested handoff

Bring ZeroTwo a bug with a finish line

Define the contract, provide the reproduction, and get back the change plus the evidence your reviewer needs.

Start this work in ZeroTwo