Insights from the AI-first frontier.
Field notes on agentic engineering, legacy modernization, and shipping industrial-grade software in weeks — written by the team building it.
Why your legacy modernization keeps stalling — and the AI-first fix
Most rewrites die in the gap between 'understand the old system' and 'ship the new one'. Agentic delivery closes it.
Inside OrbitAI: orchestrating specialized agents across the build
A look under the hood at how UI, logic, data, and QA agents coordinate — and where humans stay firmly in the loop.
From six weeks to production: the sprint-to-scale playbook
The exact cadence we use to take an idea to industrial-grade software in six weeks, broken down week by week.
Human-in-the-loop: governing AI-generated code at enterprise scale
Speed without governance is a liability. How we keep audit trails, reviews, and accountability intact at agent speed.
FinTech compliance in an AI-first build pipeline
SOC 2, PCI, and SCIM don't have to slow you down. Building compliance into the pipeline instead of bolting it on.
Design-thinking meets agentic delivery
Great products still start with empathy. How design research shapes what the agents actually build.
Testing strategies for agent-generated codebases
When code is written at machine speed, your test pyramid is the safety net. What changes, and what doesn't.
The strangler-fig pattern, revisited for the AI era
Incremental migration is still the right call. Agents just let you run far more strangler branches in parallel.
Shipping trust: how we measure quality beyond test coverage
Coverage is table stakes. The signals we actually watch to know an AI-first build is production-ready.
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