DevResolve

DevResolve AI is an agentic debugging workflow designed to reduce the manual effort between receiving a bug report and producing a validated software fix. In many development teams, a reported issue still requires a developer to manually understand the report, locate the correct repository, investigate the affected code, reproduce the problem, implement a fix, run tests, and repeat the process when validation fails. This creates unnecessary context switching and slows down debugging and application maintenance. DevResolve turns this process into a structured workflow. A user or QA engineer selects a project and submits a bug report through the DevResolve web application, including a title, description, expected behavior, and an optional screenshot. Each project is mapped to its GitHub repository. When the issue is submitted, DevResolve creates a temporary workspace from the repository and uses IBM Bob to investigate the codebase, identify the root cause, implement a safe fix, and run relevant tests and build validation. Observable agent activities can be displayed back in the web interface so developers can see what is being inspected, changed, and validated. If validation succeeds, the issue becomes ready for developer review. If Bob determines that the issue requires an architectural, product, security, or other human decision, DevResolve stops automatic resolution and marks the issue as requiring human intervention. The developer can then continue the task collaboratively using IBM Bob IDE. DevResolve combines autonomous debugging with human oversight: automation handles repetitive investigation and validation, while developers remain responsible for decisions that require engineering judgment.