Overcut named in the 2026 Gartner® Innovation Insight: AI Software Factories reportRead more

Production infrastructure
for your software factory

Stop building agentic chaos on top of CI. Overcut is a structured control plane for long-running, stateful, and governed SDLC workflows.

Book a 30-min demo call
The Overcut Executions screen: total executions, success rate and average time, a table of workflow runs with trigger, duration, tokens and status, and the steps and run context of a running Fix CI run
Zesty logoVSO logoguidde logoOptibus logoYotpo logoMalamTeam logoQ.nomy logoBlings logo
Zesty logoVSO logoguidde logoOptibus logoYotpo logoMalamTeam logoQ.nomy logoBlings logo

Custom agents with memories and reflections that stop repeating mistakes across runs.

#1
Memories for the Fix CI workflow, with auto-improve on and learned rules marked active, new or pruned

  • Custom agents & roles

    Reviewer, analyst, planner, and implementer agents with clear responsibilities.

  • Agent memories

    Agents accumulate domain knowledge and stop repeating mistakes across runs.

  • Reflections & self-improvement

    Retrospectives promote what works and prune stale guidance automatically.

  • Semantic code indexing

    Deep code understanding for sharper analysis and accurate changes.

  • Hierarchical context

    Org, project, repo, and workflow context delivered without overload.

Long-running, stateful workflows with predictable cost and no silent context overflow.

#2
A Fix CI run timeline with step durations, tokens used, cache hits and no context overflow

  • Long-running, stateful workflows

    Real processes with human-in-the-loop steps, not brittle scripts.

  • Token & execution control

    Predictable cost and stable execution with no silent context overflow.

  • Caching & reuse

    Reuse dependencies, indexes, and intermediate results for faster, cheaper runs.

  • Environment setup

    Installs dependencies and prepares real repositories automatically.

  • Locking & prioritization

    No agent collisions; predictable, orderly execution.

A visual workflow designer with versioning and triggers on PRs, tickets, labels, comments, or schedules.

#3
The Overcut workflow designer with a draft code review workflow and its version history

  • Visual workflow designer

    Compose and maintain complex workflows with a clear mental model.

  • Workflow versioning

    Measure quality over time and roll back safely.

  • Triggers & events

    Run on PRs, ticket changes, labels, comments, or schedules.

Scoped tool permissions, sandboxed runs, and step-level audit for every agent.

#4
Tool permissions for a senior developer agent, with file and pull request tools allowed and everything else denied by default

  • Tool governance & permissions

    Scope what every agent can touch to reduce blast radius.

  • Sandbox execution

    Isolated, ephemeral environments with no cross-run interference.

  • Observability & audit

    Step-level logs, decisions, and approvals for debugging and compliance.

  • Org-level token management

    Shared budgets, limits, and policies across teams and systems.

Dvir Cooper
Dvir Cooper,R&D Group Manager, Zesty
“The quality of the code review is fantastic, and developers miss it when it's not there.”
Zesty logoRead the full story

6 hours

saved per engineer, per week

2 weeks

from setup to production

  • Claude logo
  • Cursor logo
  • GitHub Copilot logo
  • OpenAI logo
~/acme-app
$ npx overcut init
✓ Signed in
✓ Current workspace: Acme
✓ Connected: Claude Code
> Set up Overcut for this repo.
Inspecting repo: GitHub remote, pnpm, vitest, GitHub Actions
Proposed workflows:
1. Code review
2. Fix CI
3. Auto docs update on merge
Draft run of "Code review" passed.
Publish and activate triggers? [y/N]

Your AI software factory starts with one command

The same AI everyone has. Run with the security, control, and scale enterprises actually require.

Questions teams ask

What makes Overcut production-ready?

Workflows are long-running and stateful, run in isolated sandboxes, and keep cost predictable with token and execution control. Every step is logged for debugging and compliance.

Do agents improve over time?

Yes. Agents accumulate memories across runs, and retrospectives promote what works and prune stale guidance automatically.

How do agents understand our codebase?

Semantic code indexing gives agents deep code understanding, and hierarchical context delivers org, project, repo, and workflow context without overload.

Can we roll back a workflow change?

Every workflow is versioned. Measure quality over time and roll back safely when a change underperforms.

How do we keep agent costs predictable?

Token and execution control prevents silent context overflow, and org-level token management sets shared budgets and limits across teams.

Your team works in unison. Your agents should too

Book a 30-min demo call