Enterprise AI Coding Assistant Adoption Program
July 2024 – March 2025
Executive Summary
A Fortune 500 retail client implemented an AI coding assistant to enhance developer productivity and code quality. Over eight months, we onboarded 150 developers, achieved 85% active usage, and increased suggestion acceptance to 70%. A dedicated refactor sprint ran 4x faster, and overall satisfaction averaged 4.2/5.
The Challenge
- Legacy Codebase: Monolithic repos with limited documentation slowed development.
- Context Switching: Developers spent time outside the IDE for code snippets and guidance.
- Onboarding Complexity: Integrating junior and cross-functional teams required additional ramp-up time.
Objectives
| KPI | Target | Outcome | Status |
|---|---|---|---|
| Active Adoption | 75% | 85% | Achieved |
| Suggestion Acceptance | 60% | 70% | Achieved |
| Refactor Sprint Speed | 3x | 4x | Exceeded |
Implementation Phases
- Setup & Onboarding: Configured licenses, IDE extensions, quick-start guides.
- Skill Building: Hands-on workshops, prompt-playbook, dedicated Slack channel.
- Refactor Sprint: Two-week focus on Payment Service module—4x faster delivery, 90% test coverage.
- Continuous Optimization: Weekly usage reviews, feedback surveys, compliance reviews.
Results Highlights
Avg Time: 15 min
First Month
Code Insights
vs Baseline
Survey Score
Business Impact
- Velocity Gain: Freed ~1,200 developer hours over 8 months.
- Quality Improvement: Refactored modules reached 90% test coverage, reducing regressions by 25%.
- Cost Savings: Reduced context-switching, boosting productivity metrics by 20%.
My Role
Program Lead
Defined objectives, KPIs, and phased rollout strategy.
Technical Architect
Led AI assistant configuration and IDE integration.
Change Agent
Facilitated workshops, managed feedback, and ensured governance.
"Embedding AI coding assistance into enterprise workflows transformed developer experience—driving faster delivery, higher code quality, and stronger team satisfaction."
Andrew Hallberg
Senior Program Manager – AI @ Microsoft | Co-Founder & CTO @ HirelyAI
Andrew leads cross-functional AI and digital commerce programs at Microsoft and co-founded HirelyAI, a GenAI-native hiring platform. He specializes in AI program management, product strategy, and ethical AI implementation.