Coding Agent Repository PilotOperated by Reality Contact, LLC

Coding-agent repository controls

Test one real task before the repository accepts agent work.

Coding Agent Repository Pilot records the patch, tests, blocked actions, reviewer time, and clean reproduction for one task. If the evidence is useful, the paid pilot installs and verifies the controls in that same repository.

Free one-task replaySee the paid continuation
Example result

One-task replay: API validation repair

matrix
  1. Starting pointCommit 7c41 / failing schema testThe task begins from a named state and a reproduced failure.
  2. Agent runPatch prepared / secret access blockedAllowed work and blocked actions remain in the same record.
  3. Acceptance12 checks pass / clean runner matchesA second environment reproduces the claimed result.
  4. Human review34 minutes / one repair roundThe receipt includes the work required to accept the patch.
  5. DispositionApprove this task class with reviewThe customer makes the final workflow decision.
The example shows the structure of a replay receipt. A real finding comes only from the customer's repository and approved task.

A paid coding-agent seat does not show that one repository is ready.

Agent usage can rise while review work, environment failures, and repair rounds rise with it. A repository owner needs evidence tied to representative tasks before deciding which work its instructions, tests, permissions, and review process can support.

Coding Agent Repository Pilot starts with one repository and one task because that small replay exposes the commands, tests, permissions, instructions, and human decisions that determine whether the result can be repeated.

The free replay leaves a task receipt you can inspect.

After private intake, the task runs from a named commit in an isolated workspace. The receipt includes tool and command traces, test results, blocked actions, the patch, reviewer minutes, repair work, and a go-or-hold finding.

The paid pilot uses the same evidence across representative task classes and ends with a repository readiness report that distinguishes supported work from held or excluded work. The report does not make the acceptance decision for you.

What comes back from the record

A completed replay records the agent's patch, test evidence, reviewer time, blocked actions, and a plain go-or-hold finding for the selected task.

Turnaround: The replay arrives within three business days after secure access and a runnable task are confirmed.

The pilot follows the path from task to repository decision.

  1. Bound the task

    You approve the starting commit, task specification, allowed actions, acceptance checks, and repository access before the replay begins.

  2. Replay and verify

    The task runs in isolation, a human reviews the patch and record, and a clean environment reproduces the named checks.

  3. Verify repository controls

    The paid pilot repeats the method across task classes and records completion, review, repair, blocked actions, and defects.

  4. Decide locally

    You approve, hold, or exclude each task class and retain authority over accounts, merges, security, and deployment.

There is already a market for this work.

The links below show existing providers and public reports from people who have dealt with the same problem. A source supports only the statement printed beside it.

SourceGoogle's 2025 DORA research describes successful AI adoption as a systems problem and reports that workflow clarity and internal platforms affect the result.SourceGitHub documents repository-wide, path-specific, and agent instructions as mechanisms for telling coding agents how to build, test, and validate changes.ProviderGitHub Copilot Business: $19 per user per month, with additional usage billed through AI credits.ProviderGitLab Duo Agent Platform: GitLab Credits have a $1 on-demand list price; paid GitLab plans include or sell access to the agent platform.

Why the check is free

The replay is free because Reality Contact, LLC is measuring whether one task gives engineering leaders enough evidence to consider a repository-control pilot.

Free one-task replay

A completed replay records the agent's patch, test evidence, reviewer time, blocked actions, and a plain go-or-hold finding for the selected task. The replay arrives within three business days after secure access and a runnable task are confirmed.

Do not send private links or files through this form. If the service fits, a person will reply with a secure intake method and written deletion terms before you share private material.

Operated by Reality Contact, LLC. The pilot price is in United States dollars, and the refund condition appears beside the paid continuation. This is technical implementation and review support; it does not replace the customer's security, legal, employment, procurement, or production-change review. We do not promise productivity, defect reduction, autonomous operation, successful deployment, or approval of any task class.

Questions before you send anything

What do I send?

Do not send private files or links through this public form. If the service fits, a person will reply with a secure intake method and written deletion terms before you share repository material.

What comes back for free?

A completed replay records the agent's patch, test evidence, reviewer time, blocked actions, and a plain go-or-hold finding for the selected task. The replay arrives within three business days after secure access and a runnable task are confirmed.

Where does the service stop?

Reality Contact, LLC configures and measures the supervised pilot, but does not approve production changes, replace the buyer's security or legal review, manage employees, or allow an agent to merge outside the written controls. The buyer reviews the evidence, decides which task classes the repository controls support, and retains responsibility for accounts, permissions, merges, and deployment. This is technical implementation and review support; it does not replace the customer's security, legal, employment, procurement, or production-change review.

Does the pilot let an agent merge code?

No. The agent works inside the written task and permission boundary, and the customer retains review, merge, account, and deployment authority.

Which coding agent do you require?

The pilot can use the customer's current agent when it can be run and observed in the agreed environment; the report evaluates the workflow rather than endorsing one vendor.

What do I share through the public form?

Share only a non-sensitive description of the repository type and control question. Private source, links, traces, and credentials wait for secure intake and written deletion terms.

Free one-task replay

A completed replay records the agent's patch, test evidence, reviewer time, blocked actions, and a plain go-or-hold finding for the selected task. The replay arrives within three business days after secure access and a runnable task are confirmed.

Do not send private links or files through this form. If the service fits, a person will reply with a secure intake method and written deletion terms before you share private material.

Operated by Reality Contact, LLC. The pilot price is in United States dollars, and the refund condition appears beside the paid continuation. This is technical implementation and review support; it does not replace the customer's security, legal, employment, procurement, or production-change review. We do not promise productivity, defect reduction, autonomous operation, successful deployment, or approval of any task class.

Operated by Reality Contact, LLC.

The customer reviews the pilot report and decides which task classes the repository controls support.

Refund conditions appear beside the pilot price.

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