Ship faster
Automate repetitive development and release tasks end-to-end.
Reduce costs
Lower expenses through automated usage-based AI executions and workflows.
Improve quality & reliability
Enhance standards with AI-powered reviews, testing, and standardization.
Improve developer experience
Offload repetitive toil to autonomous AI agents.
Visual Workflow Automation
Slash lead-time and minimise human error by turning fragile, hand-rolled scripts into repeatable, governed workflows.- Drag-and-drop builder — compose end-to-end workflows with triggers, AI agents, code actions, and approvals.
- Execution monitor — follow every run in real time, inspect inputs/outputs, and retry failed steps.
- Reusable templates — start quickly with community and in-house workflow templates.
AI Agent Platform
Multiply developer productivity without hiring by embedding domain expertise into reusable AI agents that run 24 × 7.- Stateful agents that can plan, reason, and call tools.
- Multi-Model support with option for “Bring Your Own Model” (BYOM).
- Built-in specialist agents for code review, technical writing, product planning, and more.
- Isolated Agent Clients for running agents safely and securely.
Developer-Centric Tooling
Reduce context-switching and onboarding time - teams work faster and gain access to Agents with their native tools like GitHub, and Jira.- Native tool integration — seamless access to GitHub, GitLab, Bitbucket, Jira, and Azure DevOps without leaving your workflow.
- Unified developer experience — single interface for code reviews, ticket management, and automated workflows.
- Reduced onboarding friction — new team members can start contributing immediately with pre-configured agent workflows.
- Context-aware automation — agents understand your project structure and can work across multiple tools intelligently.
Source-Control & Multi-Repo Automation
Enforce consistent standards across hundreds of repositories without additional headcount or brittle scripting.- Unified Git provider registry supporting GitHub, GitLab, Bitbucket, Azure DevOps, and AWS CodeCommit.
- Enhanced cloning with shallow, sparse, and cached clones to keep workflows fast.
- Automatic repository mapping so every workflow knows which repositories should be handled per each ticket.
Issue & Ticket Workflows
Gain real-time visibility and shorter cycle times by automating ticket flow between product, engineering, and ops. Kick off workflows from issue events, slash-commands, or manual triggers, and let agents update or create follow-up tickets automatically.Containerised Development Environments
Eliminate “works on my machine” delays and cut CI minutes by provisioning identical, cacheable dev environments. Generate dev-containers and Docker images straight from your repo so every workflow runs in the same repeatable environment.Observability & Monitoring
Detect anomalies before they become incidents, reducing downtime and safeguarding customer trust.- Real-time run tracking UI — monitor workflow execution with structured logs for immediate visibility.
- Centralized monitoring dashboard — unified view of all workflow health, performance metrics, and system status across your organization.
💡 Next steps
Check out the Quick Starts to see Overcut in action, or head to the Get Started with Repositories guide to connect your first repo.