AI Coding Tools Have No Institutional Memory
AI coding assistants are stateless. They don't remember your architectural decisions, past bugs, or team conventions. This creates a specific kind of technical debt—code that looks correct but violate...
53 articles with this tag
AI coding assistants are stateless. They don't remember your architectural decisions, past bugs, or team conventions. This creates a specific kind of technical debt—code that looks correct but violate...
AI video generation looks impressive in demos because those clips are selected from dozens of attempts. In production, expect 3-5 generations per usable clip, 15-20% cleanup time, and quality that isn...
AI content farms have flooded search results with machine-generated text optimized for ranking, not accuracy. By 2026, genuine expertise gets buried under industrial-scale content pollution....
The observability market will hit $172 billion by 2035, yet alert fatigue is epidemic and engineers spend 40% of time on tooling. Dashboards create illusion of control while real understanding require...
Strip away the marketing and 'agentic AI' is workflow automation with LLM steps. Useful, but not the revolution the vendors are selling....
Serverless promised to eliminate infrastructure concerns. Instead it created new problems: cold starts, vendor lock-in, debugging nightmares, and costs that spiral at scale. Containers won. Kubernetes...
MVP was meant to be a discipline for validated learning, not permission to ship half-finished software. The corruption of the concept has given founders an excuse to skip the hard work of building som...
LLMs are amoral pattern engines that will confidently lie because confident lies were in the training data. Understanding this predicts where they'll fail—and why you can't trust their self-reports....
DeFi advocates claim they're building the future of finance while removing everything that makes finance work: recourse, recovery, accountability, and insurance. Billions lost to hacks prove the point...
Rust is safer than C. That's not enough. Trillions of lines of C are in production. The learning curve is brutal. Safety-critical domains require certified toolchains. Technology quality doesn't drive...
Yann LeCun is betting that large language models are a dead end for AGI. His new startup AMI Labs pursues world models instead. Why his contrarian vision might prove correct....
MIT-linked studies show 95% of generative AI pilots failed to generate meaningful business impact. The failure patterns and how to avoid them....
