Two paths. One stronger practice.

How does your code review practice need to change?

Choose the path that matches the change your team is facing now. Improve the review practice you already have, or redesign it for AI-assisted development.

01Your current reviews need to work better

Team intervention

Code Review Performance Workshops

Improve the speed, quality, and effectiveness of your current code reviews.

Practical, research-based workshops that help teams identify their review bottlenecks, establish better habits, and make feedback more useful.

Choose this path if

  • Reviews are slow or unpredictable
  • Feedback quality varies across the team
  • Review responsibilities and norms are unclear

Your team will work on

  • Reducing delays and context switching
  • Giving focused, constructive feedback
  • Building a consistent team review practice
See workshop options
02AI is changing how your team creates code

Focused advisory sprint

AI Code Review Readiness Sprint

Redesign your review workflow for AI-generated and AI-reviewed code.

A focused engagement to assess your current workflow and design a practical, risk-aware review model that keeps human responsibility clear.

Choose this path if

  • AI is increasing change volume
  • Agents now create or review code
  • Human review effort is not risk-based

The sprint delivers

  • Assessment of current AI and review practices
  • A future AI-era code review workflow
  • Human-review guidelines and a pilot plan
Discuss a readiness sprint

What the sprint makes concrete

From uncertainty to a review model your team can pilot.

  1. 01Assessment of current AI and code review practices
  2. 02Identification of bottlenecks, risks, and responsibility gaps
  3. 03A future AI-era code review workflow
  4. 04Risk-based human-review guidelines
  5. 05A practical implementation and pilot plan