LLM-driven pipeline: From spec to MR
Agent-native software development
Bring AI agents into your existing engineering workflow so teams can ship more features, fix bugs faster, and maintain code quality as they scale. Agents work inside your codebase and follow your team’s standards.
Trusted by engineering teams at fastest growing companies.
Days→Hours
spec to merge request
Zero
boilerplate written by hand
100%
reviews focused on quality
Connects directly to your team's IDE
No new delivery ritual or parallel process. Bring agent-native development into the systems your team already uses to plan, build, review, and ship.
Model flexibility
Work with the LLM of your choice
Use the model that fits the task, cost, privacy, or latency requirement. Switch models without changing how your development workflow runs.




AI agents for software development
Put more of the delivery cycle into motion inside your existing codebase and engineering workflow. From feature work to bug fixes and migration tasks, agents help teams move faster with consistency.
Feature development
Turn specs into first-pass implementation, tests, and review-ready merge requests.
Bug fixes
Work from bug reports, trace the affected code paths, and prepare candidate fixes for review.
Legacy migration
Analyze existing codebases, map dependencies, and generate review-ready changes.
Refactoring
Draft cleanup work, module reshaping, and code modernization with repo context already considered.
Database changes
Prepare schema updates, data-layer adjustments, and dependent code changes with more structure.
Internal platform work
Support the repetitive groundwork behind tooling, services, and operational development work.
AI that works for you
See it running on your codebase
The fastest way to understand what this unlocks for your team is to watch it run. Let's set up a 30-minute demo tailored to your stack and workflow.














