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How engineering teams deploy, govern, and scale AI agents across the software development lifecycle. Insights, guides, and analysis.

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Overcut named in the 2026 Gartner Innovation Insight: AI Software Factories report
Insights

By Overcut· 1 min read

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

Reliable agents start with context: the view from a race car cockpit down a straight track
Insights

By Yuval Hazaz· 15 min read

Context Engineering: The Discipline Behind Reliable AI Agents

How are AI agents transforming automated ticket triage for engineering teams
Insights

By Yuval Hazaz· 10 min read

How Are AI Agents Transforming Automated Ticket Triage for Engineering Teams

SDLC to ADLC: the pivot every engineering org will make in 2026
Insights

By Yuval Hazaz· 18 min read

SDLC to ADLC: The Pivot Every Engineering Org Will Make in 2026

Software factory: what changes when AI agents run delivery
Insights

By Yuval Hazaz· 11 min read

Software Factory: What Changes When AI Agents Run the Delivery Pipeline

How AI agents are replacing manual security gates in DevSecOps automation
Insights

By Yuval Hazaz· 12 min read

DevSecOps Automation: How AI Agents Are Replacing Manual Security Gates

The Agentic Awakening, and the layer above the agents
Insights

By Yuval Hazaz· 16 min read

The Agentic Awakening, and the layer above the agents

Introducing Orchestrations: from reported to shipped
Insights

By Yuval Hazaz· 15 min read

Introducing Orchestrations: the layer that carries a ticket from reported to shipped

Why Overcut is building the run and control layers for AI agents in the SDLC
Insights

By Yuval Hazaz· 12 min read

Why Overcut is building the run and control layers for AI agents in the SDLC

How multi-agent software development works in enterprise engineering
Insights

By Yuval Hazaz· 10 min read

How multi-agent software development works in enterprise engineering

Six ways engineering teams use AI agent orchestration to scale
Insights

By Yuval Hazaz· 9 min read

6 ways engineering teams are using AI agent orchestration to scale

The six best AI code review tools for automated pull request reviews
Comparisons

By Yuval Hazaz· 11 min read

The 6 best AI code review tools for automated pull request reviews

Build vs buy for the SDLC orchestration layer
Insights

By Yuval Hazaz· 10 min read

Build vs buy your SDLC orchestration layer: the legacy clock starts at commit one

Agentic SDLC Orchestration vs. Synchronization
Insights

By Yuval Hazaz· 11 min read

Agentic SDLC orchestration vs. synchronization

The Plateau at Level Three
Insights

By Yuval Hazaz· 12 min read

The plateau at level three

Workflows That Remember
Insights

By Yuval Hazaz· 12 min read

Workflows that remember

The Agentic Software Development Lifecycle
Insights

By Yuval Hazaz· 6 min read

The agentic software development lifecycle

The Real Future of AI Development Isn’t a New IDE. It’s a New Interface for Work
Insights

By Yuval Hazaz· 7 min read

The real future of AI development isn’t a new IDE. It’s a new interface for work

From Engineering Chaos to Agentic Chaos
Insights

By Oren Alaluf· 7 min read

From engineering chaos to agentic chaos

Overcut vs. n8n for Production-Grade Dev Automation
Comparisons

By Yuval Hazaz· 7 min read

Overcut vs. n8n for production-grade dev automation

How Enterprises Can Adopt AI Developer Tools Successfully
Insights

By Oren Alaluf· 4 min read

How enterprises can adopt AI developer tools successfully

Overcut vs. Copilot, Cursor, and ChatGPT
Comparisons

By Yuval Hazaz· 4 min read

Overcut vs. Copilot, Cursor, and ChatGPT

Introducing Overcut
Product & News

By Yuval Hazaz· 5 min read

Introducing Overcut

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~/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]