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News
I built an open-source personal web memory for coding agents
13+ min ago (72+ words) I kept saving things I knew I would need later: a GitHub repository, a Reddit answer, a post on X, a... Tagged with ai, memory, bookmarks, mcp....
Four Ways to Survive a Network Split
5+ min ago (1632+ words) What Paxos, VR, Zab, and Raft teach us. You may never implement consensus yourself. You still need its mental models to choose databases, coordination services, and infrastructure that fail the way you expect. At 2:13 a.m., your monitoring says the service is…...
I got tired of coding agents editing before “done” was defined — so I built a plan-first harness
21+ min ago (174+ words) Chat-coding is fast until it isn’t. You ask for a feature. The agent jumps into files. You get a pile of edits and a shrug. Two sessions collide on the same paths. Auto-merge is either terrifying or so babysat that…...
How Developers Can Monitor Production — and Why It Matters
29+ min ago (352+ words) When we write code, it often feels like the main thing is to make it work locally. But reality is different: the real life of a service begins not on your laptop, but in production. That’s where it faces load,…...
Hetzner Free AI Inference API: How to Use Europe's Newest Zero-Cost LLM Endpoint in 2026
2+ hour, 50+ min ago (1120+ words) Last verified: 2026-08-12 · Free while experimental · No SLA · EU data centers · OpenAI-compatible · Rate limits: 3M input / 60K output tokens per 60 seconds Volatile facts: Pricing, models, and limits may change once the experiment ends. Hetzner has not published future token prices. Always re-check the…...
LLM Model Routing in 2026: The Guide Every Team Should Read
2+ hour, 52+ min ago (1655+ words) Most teams still pick one LLM and send every request to it. That worked in 2023 when there were three viable models. In 2026, with dozens of frontier, mid-tier, and specialist models — each with different pricing, latency, and quality profiles — committing to…...
Agentic Synthetic Data Generation
3+ hour, 24+ min ago (114+ words) The next bottleneck in AI isn't compute. It's high-quality data. 💡 As public web data hits saturation, the most interesting shift in LLM and Agent development is the rise of Agentic Synthetic Data Generation. 1️⃣ Autonomous agents run in simulated environments to…...
Joint weight‑harness optimization approaches fine‑tuned model performance
3+ hour, 44+ min ago (634+ words) Alternating updates of model weights and executable harnesses can reach accuracy on par with full fine‑tuning while consuming a fraction of the training compute. The WHALE recipe shows that interleaving a short weight‑update phase with a lightweight harness…...
My journey into tech: from traffic manager to future developer
3+ hour, 45+ min ago (22+ words) Hey, dev.to! 👋 I'm Maycon, a Systems Analysis and Development student at UNICID, currently making a... Tagged with career, learning, python....
Context Window Management for Long-Running AI Agents: 4 Patterns That Work
4+ hour, 8+ min ago (650+ words) The agent had been running for four hours and it was arguing with itself about a file it had already fixed. For years I'd thought about context window management as a packing problem. How do I fit more in. That…...