Six items, each published between 2026-10-08 and 2026-10-11. Dates shown are the source's own publication dates.
Published 2026-10-10 · DEV Community
Argues for logging what an agent decided and the evidence behind it, while keeping the raw reasoning trace out of the log — auditability without retaining the part you would rather not store.
→ dev.to
Published 2026-10-10 · DEV Community
Instead of writing one integration per client, expose your business APIs once as an MCP server and let every agent client read from it. A walkthrough of that shape and why it beats per-client glue.
→ dev.to
Published 2026-10-10 · DEV Community
Your stack notes travel between AI clients; the personal context does not, because a client's config only has fields for work. The author moves between clients and argues the fix is not a longer config file — it is keeping what is about you as a person bound to you rather than to the client.
→ dev.to
Submitted 2026-10-08 · arXiv cs.AI
A streaming monitor that compares an agent's steps as they happen instead of grading the log afterwards — catching an irreversible action before it costs tokens or damage, without paying a second model's latency on every step.
→ arxiv.org
Submitted 2026-10-08 · arXiv cs.AI
What does an agent do when retrieved evidence contradicts what it already believed — revise, flag uncertainty, or push on with the wrong answer? Proposes measuring that across three trajectory behaviours: identify, solve, escalate.
→ arxiv.org
By Nish Tahir · published 2026-10-10 · found via Hacker News
A hands-on walkthrough by Nish Tahir of building a small decision model yourself, aimed at understanding what these systems actually do rather than treating them as a black box.
→ nishtahir.com