Expertise
The work around the model, and the architecture underneath it.
Each area is a place where a decision about agent work gets made. The pages hold the thinking, the practice, and the case studies that back it.
Expertise areas
We build it, we check it, and we keep the ground under it solid.
Build with agents
The structure around the model: what an agent may touch, how many can run at once, and how a large migration gets done by them safely.
Agent Harnesses
What an agent may touch, and how it proves what it did
Agent Operations
Running many agents on one codebase without collisions or surprises
Agent-Driven Modernization
Migrations carried by agents, gated by test evidence
Check the work
Independent review and measurement, so code and content made by AI can be trusted with a stated error rate rather than on faith.
Multi-Agent Review
Independent agents that check each other before a person looks
Evaluating AI-Generated Content
Verdict ledgers, second vendors, and samples you can defend
Keep the architecture sound
Codebases with clear boundaries that both teams and agents can find their way around. This is where we started.
Frontend Architecture
Boundaries, monorepos, and governance that teams and agents can both navigate
Angular Enterprise Patterns
Scaling Angular in enterprise contexts
Explore further
Read the Insights for the long-form thinking behind these areas, or see how they translate into engagements.