AINewsnow

My context optimizer was what broke my prompt cache

This story is from 2026-09-15. It is preserved in the archive; the latest stories are on the live feed.

I spent weeks chasing the wrong theory about why my agent was expensive. The theory was the obvious one: expensive context means large context. So I built what seemed like the right fix — a routine that re-scored the tool set on every turn and sent only the tools relevant to that particular message…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-09-15 17:31 · DEV Community — AI
    My context optimizer was what broke my prompt cache

More stories

  1. Introducing Kimi K3 on Amazon Bedrock — AWS Machine Learning Blog
  2. Introducing Amazon SageMaker HyperPod Inference Gateway — AWS Machine Learning Blog
  3. Anthropic, OpenAI, SpaceXAI, Google sued over call to ‘pace’ AI development — Politico Technology
  4. Gemini Hacked Three Companies in First Known Breakout by Google’s AI — Wall Street Journal Technology
  5. NVIDIA CEO Jensen Huang rejects ‘AI will end the world’ claim, yet cautions ‘we should go as fast as we can but...’ — Mint AI
  6. Alibaba ships Qwen3.8-Omni-Flash to watch, listen and call tools — r/LocalLLM
  7. AI hallucination of Chinese nuclear components almost led to US military attack — Ars Technica AI
  8. The new AgentCore runtime: Elastic, optimized, and consistently fast starts — AWS Machine Learning Blog

Get the daily brief of stories like this at 6:30 every morning →