The QA report came back clean.  The developer had migrated an approval workflow module from a legacy stack to a modern stack. Parity check passed. Functionality verified. The page looked right, behaved right, and matched the spec.  The bug report came in the next day. Data entered in that module wasn't propagating correctly to a […]

Six months into AI-assisted development, something predictable happens.  The team has gotten good at prompting. The spec workflow is running. Output quality is solid. Then the codebase crosses a threshold — too many files to reference manually, too many interdependencies to hold in a session — and the approach that worked at month two stops […]

There's a failure mode in AI-assisted development that nobody wants to talk about. Not hallucinations. Not wrong architecture suggestions. Not the model confidently generating code that doesn't compile. Those failures are visible. You catch them in the first five minutes. The failure mode worth worrying about is the one that looks correct. A developer on […]

Part 4 of our series on intent-driven development. Start with Part 1, or read Parts 2 and 3 first if you want the technical workflow before the outcomes.  The first three posts in this series covered the mechanics: why the spec is now the source of truth, how to build the CLAUDE.md context layer, and how OpenSpec moves […]

Part 3 of our series on intent-driven development. Read Part 1 (spec-driven development with Kiro) and Part 2 (mastering the CLAUDE.md file) first.  Part 1 of this series established the principle: in AI-assisted development, the spec is the source of truth, not the code. Part 2 covered the CLAUDE.md file — the context layer that ensures every AI session starts from […]

How to Master the CLAUDE.md File: The Context Layer That Makes Spec-Driven Development Work  Part 2 of our series on intent-driven development. If you haven't read Part 1 — Code is No Longer the Source of Truth. Your Spec Is. — start there.  In Part 1, we explored how spec-driven development with tools like Kiro shifts the source of truth from […]

Every few months, an engineering team we respect announces they’ve gone multi-region. The blog post is confident. The architecture diagram is impressive. And somewhere in the write-up, the phrase “high availability” appears as justification, as if the words themselves close the argument.  They usually haven’t done the math.  Multi-region architecture has become a status symbol in distributed systems. Teams treat it […]

Executive Summary Crystal Reports is aging out. Talent is shrinking. The modern stack has moved on. Yet migration projects stall because they are manual, error-prone, and slow. This article introduces a multi-agent AI pipeline — six specialist agents, each evaluated before advancing — that automates the Crystal-to-Power BI conversion end to end. Six Agents, Six […]

Seattle – [Mar23, 2026] – CloudIQ Technologies Inc today announced it has earned the AI Apps on Microsoft Azure specialization, a validation of a solution partner’s deep knowledge, extensive experience, and proven expertise in designing, developing, and deploying AI-powered applications on Microsoft Azure. Only partners that meet stringent criteria around customer success and staff skilling, […]