Articles

Agentic coding has gone from experiment to production standard. But getting started still trips up experienced developers — from context window saturation to the 80% problem. Here's what works and where the pain points are.

In the tool-calling interface, AI models see a JSON Schema, a description, and a name — not your implementation code. That schema is the entire interface contract. Here's how tool exposure works in 2026.

AI agents are writing Terraform modules, generating Pulumi programs, and deploying cloud infrastructure from natural language. Here's how the landscape has shifted — and where the pain points hide.

JSON's whitespace, quotes, and braces waste tokens every time an agent reads a tool response. Compact formats like TRON and TOON cut that overhead by 27-50%. Here's what works in production.

The Model Context Protocol gives AI agents access to real systems. That power introduces real risks — from prompt injection through tools to tool poisoning attacks.