AI Agents Need Reliability More Than Raw Capability
Real-world agent failures show why product teams should optimize for observability, rollback, and human escalation before chasing longer task chains or flashier demos.
Insights, guides, and updates about AI tools and technology
Real-world agent failures show why product teams should optimize for observability, rollback, and human escalation before chasing longer task chains or flashier demos.
A practical security playbook for private AI search and enterprise RAG: permission mirroring, audit logs, connector risk, private indexing, and staged rollout patterns that keep sensitive data contained.
Generic answer engines are useful, but product ops, SEO teams, and AI builders increasingly need domain-specific retrieval. Here is how Exa, Danswer, Devv, Lumona, Airweave, and similar tools show where AI search is heading.
The .claude folder is not just configuration storage — it shapes how your workflow behaves. Most confusion comes from mixing global and project-level scope, misunderstanding placement conventions, and treating hooks as passive. This breakdown covers what actually matters.
A deep dive into OpenCode — the open source AI coding agent with 131K+ GitHub stars, multi-provider support, and a workflow-first approach that goes beyond autocomplete.