Plan together, execute with AI

Cut through your product backlog by assigning the tasks to Runbooks. With spec-driven development or one-shot mode, the Runbooks can plan and execute on most of the backlog items with little guidance.

Build Runbooks for systematic code improvements that work consistently across projects. When your team decides to break down monolithic functions or standardize architecture patterns, AI agents apply your refactoring logic everywhere it's needed.

Convert bug reports and stack traces into systematic debugging workflows that guide AI agents through root cause analysis. Create reproducible steps for identifying, isolating, and resolving issues while ensuring proper testing and validation.

Identify bottlenecks in compilation, bundling, and CI/CD pipelines to implement targeted performance improvements. Systematically review and update build configurations, dependency management, and caching strategies to reduce overall build duration.

Establish systematic approaches for identifying and stabilizing unreliable tests that cause CI pipeline failures. Create reproducible workflows for analyzing test failure patterns, timing issues, and environmental dependencies.

Automate tedious code migrations between frameworks, libraries, or language versions. Create step-by-step Runbooks that handle pattern matching and transformation rules. Reduce errors and save developer time on repetitive tasks.

Create Runbooks that enhance code readability through consistent formatting, improved naming conventions, and better documentation. Let AI agents apply these standards across your codebase to make it more maintainable and easier for new team members to understand.

Let agents autonomously identify areas to improve code coverage, prepare Runbooks, and write unit tests. Define the scope, exclude paths, or even explicitly ask agents to write tests. Establish repeatable processes for improving test coverage while ensuring test quality and maintaining development velocity.