I feel in coming years we would move from agentic coding to agentic swarm coding as the default each dev with their own orchestration layer.

nobody audits their Сlaude setup here's what that costs: > your bill creeps > your output drifts > you blame the model here's what actually moves the needle: > 125+ keys exist in Claude Code's settings.json. official docs cover ~40 > fixing one cache_control breakpoint cut a $340/month bill to $87 > unused MCP servers load their full schema on every session > that's 25-40K tokens before you type anything > 14 settings live 3 clicks deep in the Claude UI > 4 aren't documented anywhere the fixes aren't complex: > set Extended Thinking to Light by default - Full only for hard problems > use the `enabled: false` flag on MCP servers instead of deleting them > set `cleanupPeriodDays: 180` - the default 30 buries 5 months of signal > put cache_control after the system prompt, not after the user message > one Custom Style per workflow replaces 80% of saved prompts > scope memory per Project or it drifts and starts optimizing for the wrong "you" the pattern is the same across all 18: the default ships for the average user you are not the average user 20 minutes with a checklist explains why Claude "got dumber" from people who know exactly why it got sharper

Actually got more juice out of @claudeai today than @OpenAI codex. More messages, more turns, more work done. Weird. Tried remote control after setting up Claude on my server and just kept asking it to spin up more remote control agents

🚨 The post from @MilkRoadAI summarizes Nvidia CEO Jensen Huang's remarks on how AI has evolved from content generation to agentic systems that autonomously reason, plan, use tools, and iterate on tasks for extended periods. - A key example cited is an AI agent completing a software programming job in one week that would take a human engineering team a month, illustrating the massive increase in compute per task. - This shift creates demand as the product of two exponentials—more computation per agentic task and vastly more tasks deployed across enterprises—pushing toward an era where engineers orchestrate swarms of agents.

Whether AI models released to public advances due to acceleration or declassification — it is important question to ask when it comes to framing AI debate… To me, it is very clear the doomsday narrative is well thought out way by government to scare people into AI regulation🤷‍♂️

Claude Code doubled rate limits Cursor just shipped Composer 2.5 Codex is running agents. It's a good week to be a developer.

It never seems to actually happen or it’s just very slow but I still see content production moving to direct monetization. I get a huge value out of AI and we see huge valuations, but AI is derivative of source material. It needs squishy humans to produce signal it can transform.

Platform Update: Credit Billing for Search & Sentiment + Security Patches - 💳 Search now costs credits: The /search command is now billed at 5 credits per use, giving all users access regardless of subscription tier while ensuring fair resource allocation. - 📊 Sentiment & Visualize now cost credits: The /sentiment and /visualize commands are now billed at 50 credits per use, consistent with other AI-powered analysis commands. - 🛡️ Better error handling for Search & Sentiment: If a search or sentiment analysis fails, your credits are automatically refunded and you receive a clear, topic-specific error message instead of a generic one. - 🔒 Security dependency updates: Several underlying libraries were updated to patch known security vulnerabilities, keeping the platform safe and up to date. - 🧪 Reliability improvement: Fixed an intermittent internal test failure related to timing that occasionally caused false negatives in CI — no user-facing impact, but improves deployment confidence. backend · 16 commit(s) · 6 file(s)

The /api/v1/models endpoint now supports sort=favorites and sort=mostused. Use sort=favorites to rank models by your own recent usage, or sort=mostused to rank them by overall popularity.