9 articles on AI development.
Most legacy migrations fail because nobody fully understands the system being moved. The fix isn't translating code — it's capturing the product as a 28-dimensional model first, so AI can re-platform and refactor it with real context.
NVIDIA's Spark and the AI PC signal a shift: AI agents are moving onto the machine — always-on, local, next to your code. Why that makes architectural visibility non-negotiable.
Vibe coding means building software by prompting AI instead of writing code by hand. It's fast — but without structure it ships bugs, lost context and hidden architecture. Here's how to keep the speed and the control.
The teams winning with AI aren't the ones prompting hardest — they're the ones who can see what AI builds. Here's the architecture-first way to ship complex products fast and safely.
AI-native development means building software where AI is the primary builder and humans direct, review and architect. Here's what changes, what stays, and how to do it without losing control.
An AI coding agent plans and executes multi-step coding tasks on its own. Powerful — but without structure and validation, autonomy amplifies mistakes. Here's how to use agents safely.
AI writes confident code that's sometimes wrong. A repeatable validation process catches the failures before production. Here's a practical checklist plus the system-level fix.
Architecture docs go stale the moment they're written. The fix isn't more discipline — it's making the architecture itself the living source of truth. Here's how.
AI lets your team ship faster — and accumulate invisible risk faster. Here's how CTOs capture the speed while keeping architecture, quality and cost under control.
