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I Tested Higgsfield's Minecraft 'Prompt-to-Build.' It Generates Shapes, Not Scenes.

I ran eight building prompts through Higgsfield's Minecraft prompt-to-build. It nails single shapes in a minute but drops exact sizes, materials, doors, and whole scenes.

2026-06-18 Harrison Guo 11 min read higgsfield minecraft ai-tool-evaluation generative-3d text-to-3d voxel prompt-to-build ai-benchmark hands-on-review

Agent Architecture Is a Compute Allocation Problem: The Advisor Strategy, Cost-Curve Frame Recursed

Anthropic named the advisor strategy in April. Tobi Lutke made it viral in May with Qwen plus GPT-5.5. Stanford's HazyResearch formalized the same shape earlier. One cost-curve frame unifies all three: a cheap executor runs the loop, an expensive advisor weighs in only at hard decisions. The third recursion.

2026-06-15 Harrison Guo 21 min read claude-code ai-agent advisor-strategy anthropic tobi-lutke qwen cost-curve model-orchestration first-principles distributed-systems agent-architecture

Agent Retrieval Above the Crossover: A First-Principles Read of CodeGraph

CodeGraph is the LLM-symbol-graph my prior retrieval post argued should exist. Read against its own SQLite index: why its architectural choices are right, and where the abstraction leaks.

2026-06-08 Harrison Guo 25 min read claude-code codegraph ai-agent retrieval symbol-graph tree-sitter mcp sqlite fts5 first-principles distributed-systems abstraction-leaks

I Tested CodeGraph on Hono. The Tool-Call Savings Reproduce — the Cost Savings Don't.

Independent CodeGraph benchmark on Hono (~280 TS files): -55% tool calls reproduces the published claim, but cost is a wash (+7%), not -35%. Raw CSV included.

2026-06-01 Harrison Guo 19 min read claude-code codegraph ai-agent retrieval benchmark hono mcp tree-sitter claude-code-cost ai-tool-evaluation cost-curve

Agent Memory Is a Cache Coherence Problem

Lossless curated notes vs lossy auto-compression with vector recall: two AI-memory designs that fail differently. One fails like a cache — classical systems already mapped it.

2026-05-28 Harrison Guo 20 min read ai-agent agent-memory claude-mem claude-code distributed-systems cache-coherence rag vector-memory source-leak first-principles

Agent Retrieval Is a Cost Curve Problem: Why Claude Code Doesn't Use RAG

Why Claude Code uses grep instead of RAG: a cost-curve argument, audited against the source — with the Explore vs Fork A/B test nobody mentions.

2026-05-25 Harrison Guo 26 min read claude-code ai-agent rag retrieval distributed-systems cost-curve grep ripgrep source-leak explore-agent fork-subagent first-principles

Channels Aren't Message Passing — How Parked Goroutines OOM-Killed a Pod

Go channels are synchronization primitives, not queues. They deliver backpressure only when the producer is bounded — and that's where the real OOM hides.

2026-05-12 Harrison Guo 18 min read go channels concurrency goroutines oom backpressure production

How I Improved an AI Agent from 40% to 60% — With A/B Test Data

Same model, same test cases, 20% better results. 7 out of 8 fixes were pure code, zero LLM cost. Here's exactly what I changed and why it worked.

2026-05-12 Harrison Guo 7 min read ai-agent context-management engineering testing production

Don't Pick One AI. Run Three Against Each Other.

Don't bind to a single AI. Run three in competition, make the final call yourself, and let results judge everyone. The operating model for staying valuable in the AI age.

2026-05-03 Harrison Guo 10 min read ai career strategy ai-agent productivity leadership

Node Turns Waiting Into Events. Go Moves Context Switching Into User Space.

Most discussions of Node vs Go concurrency stop at 'async vs threaded.' The real split is deeper — where does context switching happen, and what is the unit of scheduling?

2026-04-27 Harrison Guo 18 min read golang go nodejs typescript concurrency event-loop goroutines scheduler context-switching user-space-scheduling stackless-coroutines stackful-coroutines function-color v8 libuv backend-engineering distributed-systems

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