11+ min ago  (1280+ words) My first real LLM bill surprise wasn't dramatic. No infinite loop, no viral spike. A retry policy I'd written months earlier met a flaky endpoint, and a background job quietly re-sent the same long prompt all night. The bill was…...

45+ min ago  (181+ words) A RAG answer can cite a real document and still make an unsupported claim. Retrieval answers “which text was nearby?” Citation verification asks a different question: “does the cited text contain enough evidence for this sentence?” Start with a deterministic…...

45+ min ago  (271+ words) Real-time delivery does not guarantee a correct timeline. WebSockets reconnect. Brokers redeliver. Workers race with cancellation. A client may receive event 42, then 40, then a snapshot generated after 45. The producer allocates a strictly increasing sequence per operation in the same durable…...

45+ min ago  (236+ words) An AI-generated explanation cannot rescue an unhealthy CI pipeline. If jobs wait unpredictably, runners disappear, retries hide flakes, or logs lack revision metadata, the model is summarizing unreliable evidence. Split failures into code, test_flake, infrastructure, dependency, policy, and unknown. Do not…...

45+ min ago  (256+ words) “Use AI to remove static-analysis false positives” sounds like a classification feature. In production it is an authorization feature: who may hide a warning, for how long, with what evidence, and what happens when the code changes? Keep detection and…...

10+ hour, 39+ min ago  (106+ words) QReasoner2.5 32B Instruct is a efficient model from Featherless with a 33K context window, supporting advanced reasoning, function calling. Available through ANT's unified API. Limited routing data available for QReasoner2.5 32B Instruct. Intelligence insights will appear as more requests are routed through ANT. Ask an…...

just now  (1392+ words) The interesting part is not that AI found bugs. We already knew models could spot suspicious patterns. The real shift is operational. Ethereum security work is moving from manual bug hunting toward verification at scale. That sounds less glamorous. It…...

3+ hour, 2+ min ago  (407+ words) Compares the leading Python frameworks for building autonomous AI agents in 2026. Explains where LangGraph, CrewAI, Microsoft Agent Framework, Google ADK, and others perform best. Helps developers choose the right framework based on scalability, orchestration style, and project requirements. It gained…...

1+ hour, 49+ min ago  (975+ words) I'm a lawyer. I write contracts, not Python — except I also write Python, because the legal mindset turns out to be surprisingly useful for building AI agents that don't run wild. This is about OpenSymphony, an agent framework I built…...

2+ hour, 14+ min ago  (662+ words) "Chat with your documents" sounds simple. Then you build it, and you discover a good RAG system is really eight systems wearing a trench coat. I recently finished myRAG — a fully self-hosted RAG stack: FastAPI backend, React frontend, and three…...