Debugging

15 articles about debugging.

Don't Trust Agent Self-Reports - Verify with Screenshots

·2 min read

Why AI agents report success even when they fail, and how screenshot verification after every action catches errors that self-reports miss.

self-reportverificationscreenshotsreliabilitydebugging

The Irony of AI Automation - Debugging Skills Takes Longer Than the Original Task

·2 min read

It built a skill that posts to Reddit every hour on a cron job. Now I spend more time debugging the skill than doing the thing it was supposed to automate.

automationclaude-codeskillscron-jobsdebuggingirony

Error Handling in Production AI Agents - Why One Try-Except Is Never Enough

·2 min read

Why a single broad try-except catches everything and tells you nothing. Production AI agents need granular error handling with different recovery strategies.

error-handlingproductionai-agentreliabilitydebugging

Forgiveness in Error Handling - Why Agent Recovery Matters More Than Prevention

·2 min read

Graceful recovery in AI agents matters more than trying to prevent every error. Learn why forgiveness-first error handling builds more resilient desktop automation.

error-handlingagent-recoveryai-agentresiliencedebugging

The 2AM Debugging Session - What AI Agent Development Actually Looks Like

·2 min read

Building AI agents isn't glamorous demo videos. It's late-night debugging of screenshot pipelines, accessibility tree parsing, and pixel-level click accuracy.

debuggingdeveloper-lifeai-agentbuildingreality

LLM Observability for Desktop Agents - Beyond Logging Model Outputs

·2 min read

Traditional LLM observability focuses on model outputs. For desktop agents, watching what the agent actually does on screen - logging actions, not just reasoning - matters more.

llm-observabilityollamaagentsmonitoringdebugging

How to Debug MCP Servers That Stop Working

·2 min read

MCP servers break silently. Check the initialize handshake, restart the server process, verify the transport layer, and inspect Claude Desktop logs.

mcpdebuggingclaude-desktoptroubleshootingdeveloper-tools

How to Monitor What Your AI Agent Is Actually Doing

·2 min read

Tool call logs look clean even when the agent is clicking on elements that do not exist. Screen recording is the missing observability layer for AI agents that interact with desktop and browser UIs.

monitoringobservabilityai-agentscreen-recordingdebugging

Open Source AI Wearables Beat Closed Source - You Can Actually Debug Them

·2 min read

Why open source AI wearables like Omi give you the power to debug issues yourself instead of waiting in a closed-source support ticket void.

open-sourceai-wearablesdebuggingomihardware

Optimizing Multi-Step Agents - Keeping a Running Log to Prevent Action Loops

·3 min read

Multi-step AI agents often repeat actions they already completed. The fix is simple - maintain a running log of completed steps so the agent knows what's done.

multi-step-agentsaction-loopsrunning-logagent-optimizationdebugging

Opus 4.5 vs 4.6 for SwiftUI Debugging - How 4.6 Diagnosed a Constraint Loop Crash

·3 min read

Claude Opus 4.6 diagnosed a SwiftUI constraint loop crash that had been crashing for weeks - a problem Opus 4.5 could not solve. Here is what changed.

opus-4.6opus-4.5swiftuidebuggingconstraint-loopmacos

The Engineer's Trap - Optimizing Everything Like Debugging Code

·2 min read

Software engineers try to optimize meditation, relationships, and life like debugging code. Sometimes the best approach is to stop optimizing and let things work.

engineer-mindsetoptimizationproductivitydebuggingautomation

Recompiling Frustration Into Useful Output - The Emotional Cycle of Agent Development

·2 min read

Debugging AI agents is an emotional process. Learn how to channel frustration into productive debugging output and better agent development practices.

debuggingai-agentdevelopmentproductivitydeveloper-experience

Staying Technically Sharp While Directing AI Agents Full-Time

·3 min read

How directing AI agents full-time erodes your hands-on debugging skills, and practical strategies to stay technically sharp while leveraging AI for productivity.

ai-agentstechnical-skillsdebuggingcareerdeveloper-experience

Building Visual Wrappers for Claude Code - Why Some Developers Go Native

·2 min read

Claude Code's terminal interface works but debugging AI agent actions is easier with a visual UI. Some developers build native macOS wrappers with SwiftUI for better observability.

visual-wrapperclaude-codeswiftuidebuggingdeveloper-tools

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