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AI Agents

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There are currently 5 articles with this tag. Use it when you want entries with a similar editorial angle.

AI-ready PostgreSQL: from retrieval to authorized, completed actions

Vibhor Kumar frames AI readiness as introducing AI while retaining control over data, authority, outcomes, and evidence. PostgreSQL and pgvector illustrate why relevance, business constraints, authorization, and external completion need separate controls.

Database Postgresql

2026-09-27

Controlling AI agent access with Boundary: credentials and sessions

HashiCorp frames AI agent access as part of enterprise identity, access, and audit controls. Boundary documentation helps explain why target authorization, credential injection, and termination of existing sessions need separate design decisions.

Cloud Security Hashicorp Boundary

2026-09-22

What Abnormal AI’s email detection teaches about operating AgentCore sandboxes

Abnormal AI uses Amazon Bedrock AgentCore Code Interpreter for agents handling difficult email classifications. Its tiered pipeline illustrates how routing, permissions, networking, and session lifetime shape production use.

Cloud Security AWS

2026-09-14

GitHub Copilot in Visual Studio 2026: Choosing Effort, Shared Agents, and Pre-PR Review

The August 2026 Visual Studio 2026 update adds thinking-effort controls, organization-level custom agents, improved model and usage views, and Git agent reviews for changes and commits. This article separates them into task, team, and pre-PR review decisions.

Developer Tools New technology

2026-09-01

A PostgreSQL Work Ledger for Replaceable AI Agents

Long-running agents need durable work, leases, explicit state transitions, and independent verification. This article examines a PostgreSQL-centered Looper redesign, separates measured audit findings from work that remained unproven on August 15, 2026, and explains its adoption boundaries.

AI Postgresql

2026-08-16