AINewsnow

Context Engineering: The Practice Behind Dependable AI Agents

This story is from 2026-10-26. It is preserved in the archive; the latest stories are on the live feed.

Key Takeaways Context engineering is the practice of determining what information an agent has in its context window at every step of a task: instructions, retrieved code, tool definitions, memory, and the results of earlier steps. The window is just the visible part. It depends on a knowledge laye…

Read the full story at DEV Community — AI ↗

Timeline · 1 report

  1. 2026-10-26 13:09 · DEV Community — AI
    Context Engineering: The Practice Behind Dependable AI Agents

More stories

  1. Meta Seeks Up to $95 Billion in Equity to Fund AI Spending — Bloomberg AI
  2. Anthropic's Claude bypassed a paywall to access Georgia voter data without authorization — Axios AI+
  3. How Black-Box Distillation Works — CSET Georgetown
  4. Beyond Collaboration: CRM and Slack Are Slaying Sales Goals — Salesforce AI Blog
  5. Anthropic files to go public — Engadget
  6. Anthropic reveals plans for blockbuster IPO — Sky News Technology
  7. Anthropic IPO: S-1 Filing Offers First Look at Claude Maker’s Finances — Bloomberg AI
  8. Anthropic's S-1 lists 94 pages of risk factors and warns that the "scale of harm" from a "catastrophic" AI incident might mean it is unable to obtain insurance (Wall Street Journal) — Techmeme

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