Enterprise AI Integration
1,700+
commits across
2 projects
2 projects
2
parallel production
projects
projects
25%
AI-assisted
development overall
development overall
3D + AI
WebGL + robotics
platform
platform
Challenge
Integrating AI into enterprise engineering workflows for a cutting-edge physical AI platform. The work spanned 3D browser interfaces (WebGL/Three.js) and robotics tooling — two technically distinct domains requiring simultaneous delivery under enterprise constraints.
Approach
AI-assisted development across both projects simultaneously, combining deep frontend expertise with AI-powered productivity:
- 3D visualization — WebGL/Three.js interfaces for robotics platform with complex spatial interactions
- AI backend integration — connecting frontend systems with AI/ML services for intelligent automation
- AI-powered tooling — leveraging AI coding assistants for development velocity, code review, and test generation
- Parallel delivery — managing 2 production projects with different tech stacks and release cycles
Results
- 1,700+ commits delivered across 2 parallel production projects
- 25% of all development AI-assisted — scaling to 99% in the last 3 months (400+ commits)
- Promoted to Staff Software Engineer based on delivery and technical leadership
- AI adoption spread across engineering workflows: coding, review, testing, documentation
- Demonstrated that enterprise AI adoption requires both tooling and process change
Key Insight
“Enterprise AI adoption requires both tooling and process — neither alone is sufficient. You need the right AI tools, but you also need workflows that let AI contribute meaningfully at every stage.”
Interested in enterprise AI integration?
Let’s discuss how AI can transform your engineering workflows.