Technical insights into multi-agent orchestration, local protocols, and
developer-centric terminal workflows.
Wiring up Stripe or a database you've never touched by vibe-coding traps you at the first failure. Point the agent at the service's docs over MCP and force it to teach you back — close its codebase gap and your knowledge gap in the same pass.
An unattended agent loop has no instinct for 'done.' Give it a dumb iteration ceiling it can't argue past and a completion sentinel it can raise — and it terminates correctly and cheaply.
Pairing an isolated subagent with the right tools and a thin slice of your conventions rebuilds the proven agent loop — read, pick a tool, act, report — without dragging dozens of tool-call logs back into your main thread.
The dangerous MCP server isn't the malicious one — it's the convenient all-in-one that reads untrusted data and holds privileged access to a second system. Scope it, gate the writes, and you close the confused-deputy attack.
When the window fills, agents cut corners and auto-compaction throws away the wrong things. Author a handoff file, eyeball it, and restart in a clean session you control.
An MCP server is a trust boundary, not a passthrough. Hold every secret server-side and expose a curated verb set, so a prompt-injected agent is bounded by the tools you chose — not your full API surface.
An agent that waits for you to remember to ask it is a toy. Wire a deterministic event to a headless run that reads your rules, and the routine context work fires on its own — with your conventions already baked in.
Stop fighting the context limit with a bigger window. Write an exhaustive plan to a file, then run a relay of fresh sessions that each tick off items — so a migration too big for any single context still ships coherently.
The fix for slow, flaky agent evals isn't a faster suite — it's two loops. A cheap deterministic gate on every PR, and a slow judge suite headless on a schedule. One blocks regressions; the other discovers them.
Give every consequential tool a declared output schema and validate the result against it at the boundary, so the UI gates on a real success boolean instead of trusting the agent's prose — and a malformed result fails loud instead of rendering a lie.