AI Engineering & Software Architecture

Create reviewable system design documents with AI using source evidence, reusable prompts, diagrams, API contracts, and automated checks.

Design bounded feedback loops that connect agent edits to test results, runtime observations, review evidence, and explicit stopping conditions.

Use evolving specifications to guide AI implementation, assess architecture and maintenance costs, and connect acceptance criteria to verification.

Build a reproducible agent environment with explicit tool permissions, reliable commands, repository guidance, and optional MCP integrations.

Give coding agents relevant, traceable context through repository instructions, API contracts, service catalogs, and documentation checks.

Separate model routing from prompt instructions, configure gateway policies, and evaluate quality, fallback behavior, latency, and total cost.

Write clearer coding prompts with explicit scope, useful context, testable requirements, and repeatable prompt-evaluation exercises.