Model selection drives 37x more variance than harness choice. But without the harness, you're locked to one vendor's pricing. The moat isn't quality - it's optionality.
Read Essay293 scored runs across 19 models. Same model, different harness: 0.19 point delta. Different models, same harness: 37x variance. The harness enables model choice—the real cost driver.
ReadLessons from running Claude Code agents across 5,000+ real production jobs. The failures, fixes, and patterns nobody documents.
ReadInside the orchestration system running hundreds of autonomous AI workers 24/7. Architecture, failures, and what actually scales.
ReadA working practitioner's comparison of Claude Code, Codex CLI, and open-source alternatives. Benchmarks from real production use.
ReadAfter 6,000+ production jobs, the hardest problems aren't model quality. They're orchestration, memory, cost management, and failure recovery.
ReadThe architecture that turns any model into a production coding agent. Tool loops, caching strategy, checkpoint systems, and the design that leaked.
ReadModel selection matters 37x more than harness quality. But only if your harness lets you select. The claim piece—data and architecture in the full study.
ReadA practitioner's comparison of Claude Code, OpenAI Codex, and open-source coding agents after running them all in the same production job queue. Real numbers, real failures, real recommendations.
ReadA real Claude Code system running 500+ workers, multi-model review pipelines, LanceDB memory, and cron schedules. Built for daily production use, not a demo.
ReadThe architecture, code patterns, and production numbers from building a 3-tier memory system for AI agents. 230K vectors, 6,370 jobs, $0.003/month embedding cost.
ReadOne Telegram message triggered six coordinated AI agents that collected, embedded, and analyzed 2,102 NYT obituaries in under two hours. The orchestration architecture behind it.
Read"Every article here is grounded in data from the running system. Real job counts, real failure rates, real cost figures. The production floor, not the conference stage."— D. Nakhla