Every few years the industry rediscovers that programming languages are not religions. Then we immediately behave like they are religions. Someone posts a benchmark. Someone else says memory safety. Someone says developer experience. A distributed systems person appears from under a bridge and whispers “Erlang solved this in 1998.” A startup founder announces they are rewriting their CRUD app in R
The Wall Street Journal ran a piece yesterday on JustPaid, a 9-person Mountain View startup. They used OpenClaw and Claude Code to stand up seven AI agents that write code, review it, and run QA around the clock. In one month: 10 major features shipped. Each one would have taken a human engineer a month or more. This story is getting passed around as proof that the autonomous engineering team is h
Becoming a tech lead was the goal from pretty early in my career. I had a clear picture of what the role was. More responsibility, more influence over the work, more of the interesting problems landing on my desk because someone had to figure them out and that someone, finally, would be me. It read like the natural next step. The thing you graduate to once you're good enough. What that picture did
Si usas Claude Code para programar ya sabes lo que pasa: abres una nueva sesión y el agente vuelve a improvisar. El contexto de la sesión anterior desapareció. Le describes la feature de nuevo, asume cosas distintas, y acabas corrigiendo código que nadie pidió. OpenSpec resuelve exactamente eso. Es un CLI open-source que inserta una capa de especificación versionada dentro de tu proyecto. Claude C
DeepClaude: I Combined Claude Code with DeepSeek V4 Pro in My Agent Loop and the Numbers Threw Me Off DeepSeek V4 Pro correctly solves 94% of deep reasoning tasks in my loop… but the latency cost makes it unusable for 60% of my agent cases. Yeah, you read that right. And that completely blows up the narrative of "combining models is always better." Tuesday night I watched the DeepClaude post cli
DeepClaude: combiné Claude Code con DeepSeek V4 Pro en mi loop de agentes y los números me desconcertaron DeepSeek V4 Pro resuelve correctamente el 94% de las tareas de razonamiento profundo en mi loop… pero el costo de latencia lo hace inutilizable para el 60% de mis casos de agente. Sí, leíste bien. Y eso cambia completamente la narrativa de "combinar modelos es siempre mejor". El martes a la
Reaching an annual salary of ¥8,000,000 is often seen as a major milestone for software engineers in Japan in 2026. On paper, it sounds like a ticket to a comfortable, upper-middle-class life in Tokyo. But is 8 million yen a good salary in Tokyo—really? But if you are coming from abroad—or if you've only looked at the "Gross" figure on your offer letter—you might be walking into a "logic bug" that
Background A nasty surprise Last summer while trying to deliver a feature for one of our customers, I encountered a nasty situation. The software we were developing, depended on a production grade license of Gurobi. People were on vacations except of my team and some unrelated staff, so developing the feature was in principle blocked. As I learnt due to some other situations, research