Key Features

Autonomous AI Agents
Continuous Monitoring of Development Lifecycle (GitHub, Jira, CI/CD)
Defined Scopes and Policies for Agent Actions
Automated Code Review
Automated Ticket Triage
Auto-Changelog Reminders
Auto Docs Updates
Root Cause Analysis
Technical Design Proposal Generation
Learning and Adaptation with Guardrails

The power of Overcut lies in its Continuous AI Model, which emphasizes reasoning and action within clearly defined scopes and policies. Agents don’t operate randomly; they are guided by your team’s priorities, rules, and established workflows. This control is achieved by connecting Overcut to your existing development stack and defining precise boundaries for what agents are permitted to observe and act upon. Whether it's automating code review, generating technical design proposals, or standardizing code, each agent functions within these predefined parameters, ensuring transparency and accountability in every action taken.


Overcut is designed for continuous improvement and safe adaptation. The system learns from past actions and feedback, refining its performance over time while always adhering to the guardrails you’ve set. This learning process is coupled with robust monitoring and audit trails, providing confidence in every action and allowing you to continuously refine the system. Explore pre-built AI playbooks for common development tasks like bug analysis and ticket triage, or customize and extend these playbooks to perfectly match your specific SDLC needs, ultimately automating, accelerating, and fostering growth within your engineering organization.

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