$ loading_
Automatically consumes bug reports, fixes code issues, and cycles through pending bugs.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "qa-workflow" yet — see the docs or source repo.
Connect to the qa-workflow service and load the current pending bug reports. For each report, use the provided source location to analyze the issue, modify the code automatically, and continue to the next item until the queue is empty. Output a fix summary and touched files for each bug.
An ordered list of completed bug fixes with summaries and modified files.
Use qa-workflow to handle this bug: the error occurs near the specified file and line number. Find the root cause from the report, update the implementation directly, explain why the fix works, and provide suggested validation steps.
A fix result for one issue, including root-cause analysis, code-change notes, and validation suggestions.
Start the qa-workflow bug-processing loop and keep waiting for new reports to enter the queue. Whenever a report with source locations arrives, fix it automatically and record the status; if it cannot be fixed immediately, mark the blocker reason and continue to the next one.
An ongoing bug-processing log with fixed items, blocker reasons, and queue progress.
MCP tool for QA workflows, testing, defect tracking, and reporting.
Automate QA with generated scenarios, Playwright tests, execution, and GitHub bug reports.
Read Jira and Confluence to generate QA artifacts and coverage analysis.
Analyze test reports across runs to find regressions, fixes, and persistent failures.
Analyze and fix test failures with plain-language guidance in IDE and Slack.
Run local QA checks for APIs, test cases, errors, and SLA evaluation.