Devin triages the VocaLinux backlog across platforms
Jatin K Malik used Devin with SWE-2 to triage VocaLinux issues and PRs, perform end-to-end testing and create skills. Backlog cleanup with stronger-model corrections on some fixes was reported by the poster, who highlighted native Win/Mac/Linux access.
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Suggested prompt
Suggested prompt written by Agents In Use, not the source author. Replace bracketed inputs and review tool permissions first.
Triage the open issues and pull requests in my repository. Work through the backlog, test changes in the available native platform environments and create reusable skills where helpful. Flag fixes that need human or stronger-model intervention and summarize remaining limitations.
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Sourced account- Source poster / publisher
- @jatinkrmalik
- Original account
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- Published
- Source link checked
- Reported result
- Backlog cleanup, end-to-end testing and agent-created skills over ~10 hours were reported by the poster. Out of 60+ issues, GPT 5.6 Sol was needed for only 2 of them to interject and correct the fix, reported by the poster.
- Human involvement
- Malik assigned the backlog work and used GPT 5.6 Sol to interject and correct fixes on 2 of the 60+ issues, reported by the poster. A separate human review of every change is not described.
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How the agent did it
- Malik assigned Devin the open issues and pull requests in the VocaLinux GitHub repository, using SWE-2.
- Devin worked through the backlog bit by bit, performed end-to-end testing and created its own skills, reported by the poster.
- Malik used GPT 5.6 Sol to interject and correct some fixes rather than relying on SWE-2 throughout without correction.
Jatin K Malik used Devin to work through open issues and pull requests for the VocaLinux GitHub repository. He describes a backlog dating from Jun 2025 and work spread over ~10 hours, reported by the poster. The task extended beyond sorting tickets: end-to-end testing, skill creation and backlog cleanup were also reported by the poster.
Malik used the SWE-2 model for the work. Rather than describing an agent that needed a fresh instruction for every issue, the account describes Devin progressing through the backlog bit by bit and creating its own skills. It does not disclose the contents of those skills or a detailed issue-by-issue execution trace.
Human intervention remained part of the workflow. Out of 60+ issues, Malik needed GPT 5.6 Sol for only 2 of them to interject and correct the fix, reported by the poster. That distinction matters: the stronger model was used for corrections, not identified as the model running the whole cleanup. The post does not describe a separate review of every fix.
Malik highlights agent access to Win/Mac/Linux because it can build on the native platform. That is his explanation of what made the environment useful, not independent proof that every issue was tested on every platform. The account supports a specific maintenance workflow combining issue triage, fixes, testing and reusable skills, with explicit correction points. It does not establish a general success rate or production reliability guarantee.
Prompt
Suggested prompt (written by Agents In Use, not the author's)
Source: X · @jatinkrmalik
Frequently asked questions
Which model did Malik use for the backlog work?
He used Devin with SWE-2. GPT 5.6 Sol was used to interject and correct fixes on 2 of the 60+ issues, reported by the poster, rather than being described as running the entire cleanup.
What work did Devin carry out beyond triaging issues?
End-to-end testing, creating its own skills and cleaning up the backlog were reported by the poster. The post does not supply the skill contents or a detailed trace for each issue.
Were all fixes verified on every supported platform?
The post does not establish that. Malik highlights access to Win/Mac/Linux for native builds, but does not give a platform-by-platform test record for every fix.
More details
Remaining steps
- Malik highlighted native Win/Mac/Linux build access as a differentiator and described the backlog cleanup as successful.
About this account
Devin progressed through issue and pull-request triage, fixes, end-to-end testing and skill creation without a described prompt for each step, reported by the poster.
Full captured X post read via mirror. Outcomes are reported by the poster, not independently verified. Prompt: suggested editorial wording, not an original task prompt. Do not infer a fix success rate, per-platform test completeness or review of every change. SWE-2 ran the main task; GPT 5.6 Sol provided the stated corrections. Promotional availability is not presented as current pricing.
Credit: @jatinkrmalik
Source published
Added to Agents In Use
Source checked
Tools and topics
Devin · SWE-2 · GPT 5.6 Sol · GitHub · Win/Mac/Linux
Issue triage · Backlog cleanup · Cross-platform testing · VocaLinux
Editorial completeness: 100/100. Measures documented fields, not agent performance or verified outcomes.