What the State of AI 2026 Survey Says About Developer Work
A developer-focused summary of the State of AI 2026 survey, covering adoption, coding agents, paid usage, costs, risks, and what engineering teams should take from it.
Blog posts tagged
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Docker Compose setups for parallel AI agents
How to structure Docker Compose so several AI coding agents can run the same multi-container Laravel app at the same time without clashing over ports, volumes, databases, or seed data.
Why AI Adoption Is Still Hard For Engineering Teams
Why AI coding tools only create lasting velocity when leaders fix trust, feedback loops, governance, and engineering fundamentals.
Apple MLX vs NVIDIA CUDA: Same Problem, Different Machines
A practical comparison of Apple MLX and NVIDIA CUDA, where they overlap, where they differ, and how those differences should shape your choice.
When AI Writes Most of the Code, Quality Has to Become Infrastructure
AI coding agents are moving the bottleneck from code production to verification. That means the SDLC needs stronger evidence, testing, risk controls, and maintainability signals.
Why Single Agents Often Beat Multi-Agent Systems
Why many apparent multi-agent gains are really test-time compute gains, and when extra agents are still worth the complexity.
We Had This Argument in 1995: Restricting Cybersecurity AI Is a Losing Game
Gated cyber models may buy defenders time, but history suggests the advantage will not last.
The Automation Avant-Garde
When machines master the ordinary, humans are freed to pursue the extraordinary. From photography to AI music to vibe coding, the same pattern repeats.