The AI Playbook

Your team's automation, ready to deploy. The AI Playbook brings together proven SDLC workflows, built to be adopted fast, customized to your standards, and scaled across every team and project.

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Code Quality & ReviewSecurity
#1

Catch bugs before merge

A thorough first-pass review on every PR.

Code Quality & Review
#2

Review comments, resolved

Overcut works through every open review thread on a pull request, applies the fixes one by one, and replies to each reviewer as it goes — cutting the back-and-forth out of code review.

CI/CD & ReleasesIncident & Debugging
#3

Keep CI green

When CI goes red on a pull request, Overcut reads the logs, finds the root cause, and pushes the fix back to the branch — no manual debugging cycle required.

Code Quality & ReviewPlanning & Tickets
#4

Design to mergeable PR

Turn an approved design doc into a ready-for-review pull request — fully implemented, tested, and documented — without a developer touching the keyboard.

Planning & Tickets
#5

Every ticket triaged

Every new issue gets a consistent first pass — Overcut classifies it, sets priority, flags duplicates, and applies action labels that kick off the right downstream workflow.

Planning & Tickets
#6

Sprint-ready sub-tickets

Turns large, well-defined tickets into sprint-sized, implementation-ready sub-tickets — each with clear scope, acceptance criteria, dependencies, and real codebase context.

Planning & TicketsDocumentation
#7

Feature request to spec

Turn a raw feature request into a complete, testable requirements document grounded in your actual codebase.

Planning & TicketsDocumentation
#8

Requirements to buildable plan

Turn issue requirements into a complete technical design — architecture diagrams, phased implementation plan, risks and mitigations — posted to the ticket with an interactive Q&A session and a one-command path to implementation.

Incident & Debugging
#9

Root cause in minutes

The moment a bug is flagged, Overcut investigates — tracing stacktraces and code history to pinpoint the likely cause with evidence and a minimal, risk-assessed fix.

Security
#10

CVEs fixed in context

Turn a CVE report into an actionable remediation plan grounded in your actual code.

Code Quality & ReviewIncident & Debugging
#11

Ask your codebase

Mention @overcut anywhere in an issue, PR, or comment and get a precise, code-grounded answer in seconds.

Testing
#12

Close test coverage gaps

Steadily close the gaps in your test suite without manual auditing.

CI/CD & ReleasesDocumentation
#13

Release notes, written for you

Turn a release PR into polished release notes automatically.

Documentation
#14

Docs ship with the feature

Overcut reads a docs issue, studies the product PR behind it, and opens a documentation pull request that follows your existing structure, tone, and standards — keeping your docs in sync with shipped changes.

Documentation
#15

Docs never fall behind

Every PR merged to main is scanned for customer-facing changes, and Overcut opens tracked documentation tickets in your docs repo so guides and references never fall behind the product.

DocumentationPlanning & Tickets
#16

Every PR explains itself

Analyzes your code changes and generates structured, consistent PR descriptions automatically — every time a PR is opened or a commit is pushed.

DocumentationCode Quality & Review
#17

Never miss a changelog

Every user-facing change ships with a changelog entry — automatically.

DocumentationOnboarding & Standups
#18

AGENTS.md that stays current

Keeps every repo's AGENTS.md in sync with reality — Overcut analyzes your structure and patterns on a schedule and opens a PR with the doc changes that actually matter.

Trusted by industry leaders worldwide

Dvir Cooper

“In just four months, Overcut has saved us countless hours and quickly become an indispensable tool that developers actively request for new projects.”

Dvir Cooper,R&D Group Lead, Zesty

Read the full story

100+

hours saved in the first four months

9/10

new projects start on overcut

Common questions

What does code review automation look like in practice?

Overcut opens a review on every pull request, or on demand with a /review command. It clones the branch, builds a review plan around the PR's actual logical changes, then analyzes the diff for bugs, security holes, performance problems, and best-practice issues. Findings are deduped and filtered so only high-signal comments post inline, followed by a review summary. You set the severity thresholds and focus areas, so it reviews the way your team reviews.

How does an AI release notes generator save engineering time?

Writing release notes by hand means reading back through a commit list and translating it into something users can follow. Overcut does that the moment a PR targets main: it reads the diff, the commits, and any referenced tickets, then groups related changes into features, fixes, and improvements under a clear release summary. Your own writing is preserved, only the generated section is replaced, and re-runs update just what changed instead of rewriting the whole description.

How many ready-to-run playbooks does Overcut ship today?

Overcut ships 18 production-ready playbooks, covering code review, ticket triage, root cause analysis, CVE remediation, documentation, release notes, and test coverage. Each one is deployable in minutes against your existing repositories and issue tracker, and new playbooks are added regularly.

Can I customize an Overcut playbook for my team's workflow?

Yes. Every playbook is defined as code, so you can change its triggers, steps, agents, and thresholds instead of accepting the defaults. Start from a shipped playbook, adjust what it does and when it fires, then run it against your own repositories. If none of the playbooks match how your team works, you can build a workflow from scratch.

The race has
already begun

will you watch it, or will you win it?

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