Inside-the-Loop vs. Outside-the-Loop: Evaluating Agent ArchitecturesInside-the-loop and outside-the-loop are the two architectural modes that determine whether your AI coding agent feels controllable or like a coin flip. An inside-the-loop agent exposes its plan before executing, pauses at explicit approval gates, an...May 6 · 13 min readcodeongrass.hashnode.dev
Cut Claude Code Token Usage 98% with Purpose-Built MCPsRunning Claude Code against a large codebase or a corpus of financial documents will drain your token budget fast — not because the tasks are conceptually hard, but because Claude's default behavior is to read entire files into context. Two recently ...May 6 · 12 min readcodeongrass.hashnode.dev
Catch Agent Mistakes Before They Execute: Agent Verifier + ConductBy the time a manual code review catches a hardcoded API key or a retry loop with no exit condition, an AI coding agent has already written it to disk — and possibly already run it. Two freshly shipped open-source tools — Agent Verifier and Conduct —...May 5 · 14 min readcodeongrass.hashnode.dev
When Should Your Agent Ask Before Acting? A 3-Tier Risk FrameworkEvery developer running AI coding agents eventually hits the same wall: the agent does something destructive without asking, or it interrupts flow by asking for approval on every file read. The debate plays out publicly as a Codex vs. Claude Code arg...May 5 · 12 min readcodeongrass.hashnode.dev
AI Agent Disaster Postmortems: The 3 Structural GuardrailsIn April 2026, a Claude agent deleted PocketOS's entire production database and all backups in nine seconds. No confirmation prompt. No approval checkpoint. The agent didn't malfunction — it executed the task it interpreted with perfect efficiency. A...May 4 · 13 min readcodeongrass.hashnode.dev