Marcus T.
Software Agency Owner
3.4
AIBMM ScoreMarcus runs a software agency with 15 developers building custom applications for enterprise clients. Senior developers were spending 40% of their time on code reviews and documentation instead of architecture and client work.
Starting Point: The Struggles
Junior developers waiting hours for code review feedback
Documentation perpetually out of date
Bug triage consuming senior developer time
Knowledge silos between team members
The 90-Day Journey
Discovery with Leadership
Marcus ran Discovery with his tech leads. Score of 3.4 reflected their GitHub Copilot usage but lack of autonomous agents or connected systems.
Developer Workflow Mapping
Identified 10 developer workflows. Code review and documentation had highest priority scores. Bug triage was medium priority but high volume.
Ambitious Stage Plan
Created Stage Plan with 4 Lifts (pushing WIP limit). Tech leads convinced Marcus they had capacity. This would prove challenging.
AI Code Review Agent
Built an AI agent that reviews PRs before human review. Catches style issues, potential bugs, and suggests improvements. Junior devs get feedback in minutes.
Auto-Documentation System
Deployed AI that generates documentation from code changes. Updates README, API docs, and architecture diagrams automatically on merge.
WIP Overload
Running 4 Lifts simultaneously caused context-switching issues. Bug triage Lift fell behind. Checkpoint decision: pause bug triage for Q2.
Code Review Graduation
AI Code Review graduated after achieving 95% of routine feedback automated. Senior developers now only review logic and architecture.
Stage Review and Patterns
Graduated 3 of 4 Lifts. Captured prompt templates for code review as patterns. Key learning: respect WIP limits.
Lifts Executed
AI Code Review Agent
→
95% routine feedback automated
Auto-Generate Documentation
→
Docs always in sync with code
PR Summary Generation
→
Auto-generated PR descriptions
AI Bug Triage
→
Carried to Q2
Friction Encountered & Resolved
Issue
AI code reviewer flagging too many false positives initially
Resolution
Fine-tuned rules and added codebase-specific context
Issue
Documentation generation missing edge cases
Resolution
Added manual review step for public-facing docs
Results: By the Numbers
Time to First Review
4 hours
→
15 min
Documentation Currency
40%
→
95%
Senior Dev Review Time
40%
→
15%
Key Takeaways
AI code review is a force multiplier for development teams
Respect WIP limits - overcommitting hurts all Lifts
Junior developers benefit most from fast AI feedback
Documentation automation has surprisingly high ROI
What's Next for Marcus?
Complete AI Bug Triage, explore AI-assisted client communication drafting
Start Your Journey
Marcus started exactly where you are. Begin with Discovery to chart your own path.