Overview

Overcut is a next-generation AI automation platform designed to embed autonomous agents directly into your engineering workflows. Unlike traditional AI assistants, Overcut acts continuously and independently within the boundaries you define, enabling engineering teams to scale effortlessly without sacrificing control.

At its core, Overcut is built around the Continuous AI Model, which observes your entire Software Development Lifecycle (SDLC) across GitHub, Jira, CI/CD pipelines, and more. It reasons about signals in real time, makes decisions aligned with your priorities, and executes tasks autonomousl, all while maintaining transparency and auditability.

Agents within Overcut aren’t designed to replace human developers, but to multiply their impact. They handle routine tasks like code reviews, ticket triage, bug analysis, and test automation, leaving your team free to focus on creative and strategic work. Overcut also evolves with use: it learns from past actions and feedback, continually improving accuracy while staying inside guardrails set by your organization.

Whether you’re a small team experimenting with automation or a large enterprise demanding production-grade scalability, Overcut adapts to fit your needs. Its flexible credit-based pricing and enterprise-ready infrastructure make it a powerful solution for organizations seeking efficiency without losing control of their workflows.

Releases

Overcut.aiInitial

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Initial release

September 4, 2025

Yuval Hazaz

wrote:

Initial release of Overcut.ai.

Yuval Hazaz

@yuvalhazaz

Stats

2 tools

2karma

Beginner

Joined: May 2024

Pricing

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Free Trial

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$22/month

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Monthly

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Pros and Cons

Pros

Continuous monitoring of GitHub, Jira, and CI/CD

Autonomous agents execute tasks within guardrails

Supports multiple use cases (reviews, triage, bug analysis)

Learns and evolves from team feedback

Clear audit trails for every action

Fast setup and seamless integration with existing workflows

Flexible credit-based pricing model

Enterprise-grade security and compliance features

Customizable agent images and scopes

Scales from startups to large organizations

View 5 more pros

Cons

Dependent on accurate guardrail setup to avoid errors

May require cultural adjustment for teams new to AI autonomy

Credit consumption can grow quickly with heavy usage

Video or marketing demos might oversell current capabilities

Some advanced features locked behind higher-tier plans

Enterprise pricing requires custom negotiation

Not all development tools fully supported yet

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Q&A

How does Overcut pricing work?

Overcut offers a consumption-based pricing model with three tiers: Pay-as-you-go (40 credits/month), Team Plan (1,000 credits/month), and Enterprise Plan (unlimited credits plus custom features). Credits correspond to execution units consumed by tasks.

Can I try Overcut before committing to a plan?

Yes, the Base (Pay-as-you-go) plan includes trial credits so you can test Overcut with your actual repositories and workflows before committing to larger plans.

What happens if I run out of credits?

Base plan users can purchase extra credit packages. Team and Enterprise plans provide generous monthly allowances, and you can upgrade anytime for higher capacity.

Is Overcut enterprise-ready?

Absolutely. Overcut is built with enterprise security standards, offering encrypted transmission, secure API tokens, detailed audit logs, and priority support for Enterprise customers.

How quickly can we implement Overcut?

Setup takes just minutes. Teams can connect Git repositories, Jira, and CI/CD tools, then start running automations immediately. Most teams report value within their first day of use.

How does Overcut differ from GitHub Copilot or similar tools?

While Copilot helps individual developers write code, Overcut automates team-level processes such as reviews, PR generation, triage, and documentatio, tasks that benefit from consistent execution across the organization.

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Overview