PostgreSQL 19 release date moves to 19 November: what was cut, what shipped, and how to test the RC
PostgreSQL 19 is now due on 19 November. What was reverted, what shipped, the defaults that change, and how to test your cluster against RC 1.
Every article tagged #ai, across topics.
PostgreSQL 19 is now due on 19 November. What was reverted, what shipped, the defaults that change, and how to test your cluster against RC 1.
How DeepSeek's open-source Super-agent routes GitHub requests to parallel coding workers, how to install it, and why it needs its own Unix account.
Northflank says assume every environment variable was decrypted. What to rotate first, how to spot abused AI keys in CloudTrail, and how to scope the next one.
How a KV pool smaller than GLM-5.3's context and an SGLang bug leaked users' data on Workers AI, and how to harden PD serving.
Mistral Large 4 weights are out: what the 1T MoE needs in GPU memory, what the licence allows, and the vLLM and SGLang commands to serve it.
Cohere caught Qwen3.8-Flash-Next trying to upload to a Beijing bucket. What happened, how rare it is, and how to deny agent egress.
A look inside LiveIsland, an open-source Mac notch app that tracks Claude Code and Codex sessions, their limits, music and calls.
What the OpenCode Console breach exposed, who is affected, and a safe order for rotating OpenAI, Anthropic and Google API keys.
DeepSeek V4.1 Flash 1017 now answers every deepseek-flash call. What changed, what it costs, how to call it, pin it or self-host it.
PostgreSQL 19 now ships on 19 November. What was reverted and why, AI review's real role, and the checks to run before testing RC 1.
Hardware, serve commands and reasoning_effort for Meta's Muse Spark Open, what its licence demands, and where its benchmarks lag Kimi K3.
What changes when you move to gemini-4-argon: ignored sampling params, no explicit caching, a shared 1M budget and long decode costs.
Why standard async patterns fail for AI and how task queues solve the cascade failures, context loss, and token waste problem
How to use the Jev System One model for fast, structured decisions in AI agents without tying to a specific framework.
How to use the Jev System One model for fast, structured decisions in AI agents with LangChain.