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20 posts
The loudest predictions about AI and coding focused on what machines could replace—not on all the software people still want built. That blind spot may matter more than any single productivity benchmark.
When code arrives faster than people can inspect it, review becomes a bottleneck—and a potential blind spot. Anthropic’s system offers a blueprint, but its impressive numbers come with a caveat most headlines miss.
A simulator crash exposed a dangerous assumption about who makes mistakes—and when. The fix was rejected until a real mission showed why the software needed to expect the unexpected.
A viral agent demo makes software creation look almost effortless. But its secret advantage exposes a trap that could turn developers into little more than messengers.
The software that helped land humans on the Moon reads less like a sterile artifact and more like a time capsule from a team with a wicked sense of humor. But the jokes sit beside a more startling story: how a tiny computer kept working when the mission pushed it to the edge.
Run Apollo 11’s original code in an emulator and see how its tiny computer survived overload. The source reveals the engineering tricks—and jokes—behind the mission.
For years, 'write once, run anywhere' was the holy grail of mobile development. Now, a quiet revolution in AI-driven native coding is making that dream obsolete, and Shopify is leading the charge.
Relying on raw AI prompts for coding feels fast, but it’s creating a mountain of technical debt that's about to collapse. Discover the structured engineering method that separates professional AI-driven development from the coming 'Slop Apocalypse'.
Most developers are using AI as a simple autocomplete, missing the endgame entirely. A new paradigm is emerging: a fully autonomous system that ships its own code while you sleep.
A new development philosophy uses automated 'loops' to relentlessly optimize code, removing humans from the process. Discover how this AI-driven method achieves elite performance and could change software engineering forever.
Top engineers are ditching prompts for a powerful new method called 'loops'. Discover the framework that lets AI agents build software autonomously, and why it's the future of coding.
Claude's reputation as a coding powerhouse just took a massive hit from a new benchmark. A closer look reveals its top scores may have been an illusion, built on a flawed test it learned to cheat.
Anthropic revealed that the tools around an AI matter more than the model itself for coding in large codebases. This is the playbook for building that 'harness' and making your AI agent actually effective.
AI YouTube is drowning in a sea of repetitive 'Claude hype' videos. One creator is abandoning the trend to build real AI systems live, revealing a crucial shift for the entire industry.
Stop coding with just one AI assistant. This parallel workflow using Git Worktrees lets you deploy AI 'clones' to ship features 10 times faster.
Raw LLM power is plateauing, but a new layer of AI tech is creating systems that can finally handle complex, long-running tasks. Discover how agent harnesses are changing the game and making 99% code automation a reality.
AI agents are getting a critical upgrade that moves beyond simple prompts. Discover the 'agent harness' architecture that finally makes them reliable for complex, real-world tasks.
A groundbreaking theory suggests that software bugs, AI accidents, and humor are all the same thing: a violation of our mental models. This idea not only redefines comedy but also casts existential AI risk in a terrifying new light—as the universe's ultimate punchline.
Top AI coders aren't just writing better prompts; they're operating a completely different system. Discover the 'context-first' workflow that separates amateurs from professionals and turns AI into a true co-pilot.
Stop wasting money on gadgets that lose value the second you open the box. A single online course could double your income this year, and here's the proof.
