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Blog — AI Prompts & Prompt Engineering — Page 26 | PromptABCD

AI Prompts & Prompt Engineering

Practical guides, templates, and tips for Claude, ChatGPT, Gemini, and beyond.

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AI Harness

Building a Safe Shell Tool for Your Agent Harness

Agent shell tool safety comes down to allowlists, argument validation, and never using shell=True. A step-by-step guide to a shell tool you can trust.

August 28, 2026·9 min read

AI Harness

How to Sandbox Code Execution in Your Agent Harness

An agent code execution sandbox has to stop more than file deletion. Here's how to block network exfiltration, strip credentials, and cap resources safely.

August 28, 2026·9 min read

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AI Harness

Tool Routing Inside an AI Harness: A Practical Guide

Agent tool routing is more than a dictionary lookup. Learn argument validation, ambiguity detection, and state-gating that stop confident, silent failures.

August 27, 2026·8 min read

AI Harness

The Parsing Layer: Turning Model Output Into Actions

Good agent output parsing isn't about salvaging more from the model. It's about rejecting bad output loudly. A fintech case study on why strict beats forgiving.

August 27, 2026·9 min read

AI Harness

Building a Minimal Agent Harness in Python From Scratch

You can build agent harness Python code in about 40 lines. This copy-paste guide takes you from a working loop to a debuggable, timeout-safe harness.

August 27, 2026·9 min read

AI Harness

Harness vs Framework: What's the Difference for AI Agents?

The agent harness vs framework choice decides whether you ship in a day or debug someone else's state machine for a week. Here's how to pick correctly.

August 27, 2026·8 min read

AI Harness

What Is an AI Agent Harness? A Plain-English Guide

Most of an AI agent harness lives outside the model. Here's what a harness actually is, the five parts inside it, and why it decides whether your agent works.

August 27, 2026·8 min read

Agent Loop Engineering

Version-Controlling the Prompts in Your Loop

A team changed one line of an agent prompt, shipped it, and couldn't roll back when it broke — no version history. Agent loop prompt versioning would have made it a one-line revert. Here's how.

August 27, 2026·8 min read

Agent Loop Engineering

Comparing Loop Traces to Find Regressions

Most teams catch agent regressions by watching aggregate metrics. That's too late and too coarse. Agent loop trace comparison finds the exact step a change broke. Here's how to do it.

August 27, 2026·8 min read

Agent Loop Engineering

Replaying Agent Loops for Debugging

Ever tried to debug an agent failure you couldn't reproduce? Agent loop replay lets you re-run the exact failed trace step by step. Here's the teardown of a debug setup that can't replay, and its fix.

August 27, 2026·8 min read

Agent Loop Engineering

Loop Instrumentation for Production Monitoring

Picture finding out your agent broke from an angry customer, not your dashboard. Agent loop monitoring turns silent failures into alerts you catch first. This case study shows what to instrument.

August 27, 2026·8 min read

Agent Loop Engineering

How Long Should an Agent Loop Run?

Half of agent overruns aren't hard tasks — they're loops with no sensible length limit thrashing past the point of usefulness. Getting agent loop length right saves cost and catches bugs. Here's how.

August 27, 2026·9 min read