OpenClaw traces incidents and prepares code fixes
Marsan reports Androidclaw locating build and product incidents and tracing a streaming issue to a fix, with a pull request and video evidence in the workflow.
Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Investigate this reported build or product issue using the authorized repository and logs. Identify the responsible change or incident, prepare a focused fix with video evidence when useful, and present the pull request under our configured review policy.
Reach people exploring AI agents
See placements →Evidence at a glance
Sourced account- Source author
- RJ Marsan, quoted by Kevin Lin
- Original account
- Read the source ↗
- Published
- Source link checked
- Reported result
- Marsan reports Androidclaw locating build and product incidents and tracing a streaming issue to a fix, with a pull request and video evidence in the workflow.
- Human involvement
- Employees raise the issues; the source does not disclose exact merge approvals. The platform was still described as suitable for internal pilot workloads.
A linked account supports attribution. It does not mean we independently reproduced its result.
Report an issue with this case
Open correction emailOpens your email app with the case link included. Nothing is sent automatically.
How the agent did it
- Receive a broken-build or product complaint with internal company context.
- Trace the issue through Git, GitHub and logs to a pull request or incident.
- For the reported streaming issue, prepare a fix and publish a pull request with video evidence.
OpenClaw's enterprise announcement includes a firsthand account from OpenAI engineer RJ Marsan about an internal agent called Androidclaw. The agent has company context and access to Git, GitHub and logging tools. Marsan describes colleagues asking it about broken builds, a missing work tab and a report that streaming seemed glitchy.
For a build problem, the agent identifies the relevant pull request. For the missing tab, it returns the link to the corresponding incident. The streaming example goes further: it traces the issue, finds a fix and publishes a pull request with video evidence, with merge capability included in the described workflow. These examples show investigation across connected systems rather than a chat-only explanation.
The announcement identifies OpenClaw Enterprise as an internal pilot platform before its planned 1.0 release. It does not publish the internal patches, logs or the exact approval rules used for Androidclaw merges. Consequently, the result remains Marsan's report of a deployed internal workflow, not an independently reproduced repair or a claim of unattended authority. Androidclaw is retained as the deployment name within OpenClaw, while the separate control plane is not presented as the reasoning agent.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: Blog · RJ Marsan, quoted by Kevin Lin
Frequently asked questions
What is Androidclaw?
Marsan names it as an internal enterprise OpenClaw agent used by his team at OpenAI.
Which investigation tools are named?
The account explicitly mentions company context, Git, GitHub and logging systems.
Are the merge approval rules public?
No. The announcement describes merge capability without publishing the internal approval policy.
More details
About this account
Receive a broken-build or product complaint with internal company context. Trace the issue through Git, GitHub and logs to a pull request or incident.
Firsthand account read. Official primary announcement by Kevin Lin visibly dated Sep 29, 2026; includes RJ Marsan’s firsthand quotation. Internal artifacts and exact merge approval policy are not public; pilot deployment. Reported outcomes were not independently reproduced. Suggested prompt written by Agents In Use.
Credit: RJ Marsan, quoted by Kevin Lin
Source published
Added to Agents In Use
Source checked
Tools and topics
OpenClaw · Git · GitHub · Internal logs
OpenClaw · Git · GitHub
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.