Tag: agentic-ai

Agent reliability patterns fail when retries re-run side effects. Design idempotency keys and step-level tracing into the loop from day one.

code-review-graph at 20K stars. AI coding agents are moving past generic code search. The next layer is persistent structural indexing through MCP — how agents go from helpful junior to autonomous contributor.

Everyone is writing about agent frameworks and protocol standards. Nobody is talking about the real breakthrough: agents that can actually use a web browser. Eight thousand GitHub stars in weeks suggests something bigger than hype.

How the Model Context Protocol is becoming the universal interoperability layer for agentic AI, and why its donation to the Agentic AI Foundation marks a Kubernetes-level inflection point for enterprise adoption.

When you use LLMs as API endpoints, their probabilistic nature breaks downstream systems. Here is how to enforce strict JSON output through grammar-constrained generation and structured outputs.

Hidden compute and API costs accumulate fast when deploying autonomous agent loops in production. A candid look at the real economics of agentic workloads.