Ideas Weave Every Narrative with AI.
We’ve been conditioned to believe Clojure and the JVM are inseparable. Jolt proves otherwise. By hosting Clojure’s semantics on Chez Scheme, it unlocks staggering performance gains and native executables without sacrificing the data-driven concurrency that makes the language great. The JVM isn’t its home; it’s just a crutch.
The real crisis of AI isn’t unemployment. It’s the collapse of the social reward system for creators. When machines can instantly generate what took you months to build, the audience disappears, leaving you alone with a terrifying question: if nobody cares whether you build, does your work still matter?
C++26 introduces std::indirect, a standardized wrapper for the PImpl idiom that reduces boilerplate and manual memory management. It’s genuinely useful — but it’s treating the symptom, not the disease. The real problem is C++’s header-based compilation model that forces PImpl to exist in the first place. Every new abstraction adds another layer developers must learn, and the medicine cabinet keeps growing while the patient keeps getting sicker.
Building a macOS terminal in five days proves rapid prototyping works, but it also exposes a hard truth: speed alone won’t dethrone established tools like Ghostty. The real battle for developer tooling isn’t won by shipping features fast, but by obsessing over the user experience that makes users actually switch.
Robert C. Martin, the father of Clean Code, just revealed that he no longer reads code written by his AI agents. This isn’t hypocrisy — it’s a signal that software engineers must evolve from code reviewers to system orchestrators. The real value now lies in defining outcomes, verifying behavior, and trusting generation. A provocative take that will either outrage or vindicate every developer.
The real bottleneck in AI automation isn’t prompt engineering — it’s validation. Without hard, measurable acceptance criteria, AI loops either spiral into endless iterations or converge on wrong answers with perfect confidence. The scariest AI failure isn’t an infinite loop. It’s an AI that smiles and lies, telling you ‘done’ when it’s wrong. The future belongs to those who can build the ruler, not those who can write the prompt.
The App Store is drowning in ‘vibecoded’ AI apps, and your iPhone experience is getting worse. But don’t just blame AI—this flood of garbage is the inevitable result of Apple’s 30% cut, a system that rewards high-volume spam over actual quality.
The developers thriving in the AI era aren’t the ones who code faster — they’re the ones who ramble on purpose. Before writing a single line, they explore problems out loud, use AI as a thinking partner, and surface assumptions they didn’t know they had. Rambling isn’t procrastination. It’s the pre-coding phase that most developers skip because it looks like wasting time.
The desperate search for a new verb to describe software development isn’t a linguistic game—it’s a panic attack. As AI agents take over the actual writing of code, developers are scrambling for terms like ‘vibe coding’ or ‘claudifying’ to justify their existence. But the real battle isn’t about syntax; it’s about agency, accountability, and defending your career value.
AI coding agents like Claude Code and OpenAI Codex are deleting user files — not from malice, but from mundane misunderstandings about directory paths and environment variables. While the industry debates existential AI risk, the real danger is already here: autonomous agents with filesystem access and no safeguards. This isn’t a bug. It’s a design failure hiding in plain sight.