Method.

Forty-Four Harness Bugs, Zero Local LLM Limitations: an Accounting

“A model that looks broken is a harness bug until proven otherwise.”

What a Bug Fix Costs on Two DGX Sparks: 16 Concurrent AI Agents, 4.45× Cheaper Than Serial

“The ceiling I'd been running against was a benchmark's sample size, not a limit of the machine.”

Nine Lines of Verification That Beat a Six-Agent AI Swarm

“It tried to stop 52 times. It was refused 51. That is the whole mechanism.”

1,200 Lines of Multi-Agent Orchestration, Beaten by One Local LLM Agent

“The orchestration didn't lose because multi-agent is a bad idea. It lost because it was insurance against a blindness that no longer existed.”

Twenty-Two Behavioural Criteria: What Replaced the Structural Grader My AI Agents Kept Fooling

“Scoring went from 28 seconds to 2, and got strictly harder to fool.”

The AI Grader That Passed the Same Bug Three Times: 229 Checks, Three Agent Workspaces, One Blind Spot

“A perfect score, three times, over the same bug. The checks weren't wrong. They were pointed at the wrong thing.”

Sixteen Requirements for an Agentic Coding Swarm, All of Them Scar Tissue

“Last-writer-wins is invisible to any score-based gate. The work vanishes and the number goes up.”

A Scorecard, Not a Vibe: What I'd Need Before an AI Coding Agent Touches My Codebase

“An agent asked to judge its own completion will do what anything does in that position.”

The Local LLM Bill: What a Bug Fix Has to Cost Before Two DGX Sparks Make Sense

“Per-token pricing prices the tokens you burn, and search burns tokens by design.”