DevOps Accents · 2026-01-11 · 36 min
AI now codes faster than most engineers but it also confidently makes stuff up. The “AI made me a 10x dev” story sounds great online, yet many AI-driven projects quietly collapse, and teams pretend they’re not using it. The real value isn’t writing code anymore; it’s steering AI, setting boundaries, and catching its mistakes. Without strong code review, AI becomes a liability. With it, it’s a massive accelerator. The gap is widening fast: structured AI teams are flying ahead, resistant ones are stuck. Today we’re breaking down the real wins, failures, and what coding actually looks like in 2026. In this episode: Our experiences with AI coding assistants; How to do it wrong and how to do it right; Context engineering: beyond prompt engineering; The importance of tooling around the model; How to implement this for your team and not break everything.
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