Overcut.ai

Overcut.ai is a developer tool. An enterprise platform for deploying, orchestrating and governing autonomous coding agents across GitHub, GitLab, Bitbucket, Azure DevOps, Jira and CI pipelines, with model choice, approval gates, audit trails and on-prem or air-gapped deployment options.

Overcut is a platform for building and operating what the company calls a software factory: teams of autonomous coding agents that handle backlog tickets, pull request reviews, CI failures and documentation chores. Rather than a single assistant bolted onto one editor, it sits above your existing repos and trackers and standardizes how agents are configured, triggered and audited across teams. Existing coding agents such as Claude Code, Cursor, GitHub Copilot or OpenAI models can be plugged in rather than replaced. The product is organized around four stages. Build covers agent construction with MCP tools, prompts, memories and skills on whatever model you choose, including Claude, OpenAI, Bedrock, Azure OpenAI or a private endpoint. Connect links those agents to GitHub, GitLab, Bitbucket, Azure DevOps, Jira, CI pipelines and observability tooling. Orchestrate handles multi-agent workflows with handoffs, shared context, triggers and approval gates. Grow adds retrospectives, self-improvement, run analytics and workflow templates so a handful of agents can scale to thousands. The audience is platform and engineering leadership at larger organizations, not solo developers. The pitch leans heavily on control: SOC 2 Type II, SAML SSO, role-based access, audit logs on every run, sandboxed execution, and deployment options spanning SaaS, private cloud, on-premises and fully air-gapped environments. Setup starts from a command line (`npx overcut init`), which inspects the repository, proposes workflows such as code review, CI fixes and docs updates, then runs a draft pass before triggers go live. Alternatives split into two camps. Editor-native assistants help one developer inside one file, while Overcut targets process-level automation spread across many repositories and many teams at once, with the governance layer as the differentiator. It is a heavier commitment, and the homepage gives no pricing, so budget discussions start with a demo call.