PRACTICE AREA
We deliver production software your teams can own, and we help them adopt AI-assisted coding — Claude Code, Cursor, cloud or on-premises LLMs — without trading speed for trust. The toolchain we teach is the one we use when we build for you.
AI-assisted engineering with guardrails — reviews, tests, and observability stay in the loop.
— TYPICAL TIMELINE
6–12 wk
— TEAM SIZE
2–5 ppl
— STARTING POINT
Backlog review
— DELIVERS
Shipped product
INSIDE THIS PRACTICE
We design and build scalable, production-ready software around your constraints — products and integration layers your teams can own and extend.
AI-assisted coding with engineering discipline: Claude Code, Cursor, and similar tools to ship faster without dropping reviews, tests, or observability. We work with cloud-hosted or on-premises LLMs as policy requires, and we use the same toolchain when we deliver for you.
TYPICAL SCENARIOS
Challenge & how we help
— Challenge
Core systems are locked behind brittle point-to-point integrations; every change is a project.
— How we help
API facades, event-driven seams, and incremental extraction with contracts your teams can evolve — co-developed with your platform owners.
— Challenge
Support and operations drown in tickets, runbooks, and tribal knowledge spread across Confluence and chat.
— How we help
LLM assistants grounded in your approved knowledge, retrieval you can audit, and human-in-the-loop for actions that need approval.
— Challenge
Engineering toil — boilerplate, test gaps, repetitive reviews — eats the sprint.
— How we help
Claude Code, Cursor, and similar tools with lightweight conventions, review gates, and lead-time metrics — so gains stick past the first sprint.
NEXT STEP