Engineering 2–4 hours setup

AI Engineering Velocity Stack

Ship 40% faster with AI-assisted coding and review

Overview

A modern AI-powered engineering workflow combining AI code editors, automated PR reviews, and AI-assisted project management to dramatically accelerate shipping velocity.

Implementation Steps

Set up Cursor with .cursorrules file defining your codebase conventions

Install CodeRabbit on your GitHub org for automated PR reviews

Configure Linear with GitHub integration for automatic PR → issue linking

Define cycle cadence in Linear (2-week cycles with clear scope)

Use Loom for async PR walkthroughs instead of synchronous review meetings

Track velocity metrics in Linear Reports and iterate on bottlenecks weekly

Expected Outcome

Faster PR cycles, fewer review bottlenecks, and 40% reduction in time-to-merge

Recommended Stack

Cursor

AI-first code editor that knows your entire codebase

8.6

CodeRabbit

AI code reviewer that understands your PR in context

8.9

Linear

High-velocity issue tracker built for modern engineering teams

8.9

Loom

AI-enhanced async video messaging for teams

8.7

Quick Facts

CategoryEngineering

Use CaseAccelerate engineering output without compromising code…

Setup Time2–4 hours

Steps6

Tools Required4

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Engineering 2–4 hours setup

AI Engineering Velocity Stack

Ship 40% faster with AI-assisted coding and review

Overview

A modern AI-powered engineering workflow combining AI code editors, automated PR reviews, and AI-assisted project management to dramatically accelerate shipping velocity.