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
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
Si tu as 30 secondes. La mémoire versionnée d'un workflow Claude Code a un effet de bord que personne ne signale : une règle mémorisée qui colle au symptôme de manière plausible court-circuite la vérification, même quand elle ne s'applique pas au compteur précis que tu regardes. Je me suis coûté vingt minutes d'exploration SQL la semaine dernière parce qu'une règle de la forme du bug — sans en êtr
If you have 30 seconds. Versioned memory in a Claude Code workflow has a side effect nobody warns you about: a memorized rule that fits the symptom plausibly short-circuits verification, even when it doesn't apply to the specific counter you're staring at. I cost myself twenty minutes of SQL exploration last week because a rule shaped like the bug — without being the bug — let me skip reading the
Abstract: This article walks through configuring both Claude Code (terminal CLI) and Claude Desktop (Cowork) to use Amazon Bedrock as the inference backend — no Anthropic API key or subscription required. Claude Code needs two environment variables in ~/.claude/settings.json. Claude Desktop needs a few fields in the built-in Setup UI. Both share the same AWS credentials and Bedrock model access. T
More rules should mean better output. That's the intuition. I spent weeks building a comprehensive CLAUDE.md — 200 lines covering naming conventions, security rules, error handling, architectural patterns, import ordering, type safety requirements, and more. I was proud of it. I'd thought through every scenario. Then I scored the output. 79.0 / 100. My carefully crafted documentation was actively