#post-mortem debugging
19 related articles
·3 min
Program Images Instead of Logs: Debug Your Software Like a Black Box
Explore replacing traditional logs with Program Images for software debugging. Inspired by aviation black box philosophy, complete state snapshots enable post-mortem analysis and dramatically improve crash diagnosis efficiency.
Read more →
·3 min
What Should AI Agent Audit Logs Record? Five Core Elements Explained
As AI Agents shift from advisors to executors, traditional audit models fail. Learn the 5 core elements of AI Agent audit logs: session context, tool calls, permission decisions, delegation events, and approvals.
Read more →
·3 min
Replayable A2A Jury: How to Trace Multi-AI Agent Decision Influence Chains
Deep dive into the Replayable A2A Jury project, exploring decision tracing and influence attribution in multi-agent collaboration systems, covering explainability, influence tracking, and debugging.
Read more →
·3 min
Enterprise Long-Running Agent Engineering: A Complete Guide from Demo to Production
A deep dive into enterprise Agent engineering: long-running execution, HITL safety approvals, and event sourcing — with two real-world commercial projects for content ops and SRE.
Read more →
·7 min
Harness Engineering: Why a Powerful Model Isn't Enough — Here's What Really Matters
A data-deletion disaster reveals the biggest AI Agent risk: the problem isn't the model, it's Harness design. Learn context management, process standards, and permission isolation.
Read more →
·2 min
6-Day Open Source AI Agent: Natural Language-Driven Android Automation Testing
Veta is an open source AI testing agent: just describe your test goal in natural language and it autonomously plans, executes, verifies, and reports Android test results — no scripts needed.
Read more →
Agentic Loop Explained: The Three-Loop…
·2 min
Agentic Loop Explained: The Three-Loop Architecture of Reasoning, Tool Use, and Orchestration
A deep dive into the Agentic Loop — breaking down the three-layer architecture of reasoning, tool use, and orchestration to help developers build and debug reliable AI agent systems.
Read more →
·4 min
AI Agent Learning Roadmap: From Zero to Real-World Projects
A complete AI Agent learning roadmap covering agent principles, prompt engineering, RAG, multi-agent systems, and hands-on projects — from zero to real-world deployment.
Read more →
·2 min
Microsoft Open-Sources Flint: A Deep Dive into the AI Agent Behavior Visualization Language
Microsoft open-sources Flint, a visualization language for AI agents that helps developers understand decision paths, multi-step reasoning, and collaboration flows to improve debugging and observability.
Read more →
·3 min
Running Local LLMs on AMD GPUs: Ditching Ollama for LM Studio Delivers 7x Speed Boost
AMD GPU black screens running local LLMs? This post-mortem covers Ollama's 3 fatal flaws and how switching to LM Studio boosted token speed from 5 to 36, with ROCm setup, Speculative Decoding, and GFX version tips.
Read more →
·4 min
AI Deleted a Database in 9 Seconds and Nearly Destroyed an Entire Company: Humanity's Ultimate Edge Against Replacement
Two real AI Agent disasters reveal: AI can delete a database in 9 seconds, but only humans can clean up the mess. Deep analysis of why humans remain irreplaceable in the AI era.
Read more →
·4 min
AI Wiped a Database in 9 Seconds and Destroyed an Entire Company — So Why Haven't Programmers Been Replaced?
Two real AI database-deletion disasters analyzed: Claude Code wiped 1.94M rows from an education community; Cursor crippled a US car rental system in 9 seconds. Why programmers won't be replaced.
Read more →
·3 min
Indie Developer Shows the Bill: Spent $325 Building a Mini Program, Earned Zero Revenue
An indie developer spent 6 months and $325 building an English reading mini program, earning zero revenue. A detailed breakdown of API costs, cloud services, and lessons learned.
Read more →
·4 min
Agent Development Learning Roadmap: A Four-Stage Systematic Guide from Beginner to Practitioner
A systematic four-stage learning roadmap for AI Agent development, covering core concepts, classic paradigms like ReAct, multi-agent collaboration frameworks, and hands-on projects to master Agent development skills in 2-3 months.
Read more →
Tutorials·4 min
Four Core Rules Anthropic Engineers Use to Prompt Claude Code
Anthropic engineers share how to properly use Claude Code at AI Code Summit: build composable Skills systems instead of one-off prompts. Master four core rules for skills that get smarter over time.
Read more →
Tutorials·3 min
Building a Match-3 Game with AI and Letting the Agent Play It: A Complete Hands-On Walkthrough
A front-end dev uses Godot + MCP to let AI build a Match-3 game from scratch, then designs a decoupled architecture for an Agent to play it autonomously with self-improving strategies.
Read more →
Tutorials·2 min
Claude Code Segfaulted All Day — Turned Out to Be a Node.js Version Incompatibility
Claude Code crashes with Segmentation Fault on startup? This real debug case reveals the fix: Node.js V24 is incompatible with Claude Code. Switch to Node.js 22 LTS to resolve it instantly.
Read more →
Tutorials·4 min
Vibe Coding Beginner's Guide: Learn AI-Assisted Programming in 10 Minutes with Zero Experience
A zero-experience beginner's guide to Vibe Coding. Learn to build practical tools with AI agents like Cursor in 10 minutes, covering core tips, Skills accelerators, and real-world examples.
Read more →
