Tech Debt Disguised as Best Practices
The most expensive code your agents write is clean, tested, documented and unnecessary. A working 2026 protocol for finding what to remove, before it hardens into architecture.
The most expensive code your agents write is clean, tested, documented and unnecessary. A working 2026 protocol for finding what to remove, before it hardens into architecture.
Harness, loop, graph, context engineering. Four terms everyone uses and almost nobody defines. Here is what each one means, which layer your system is actually failing at, and what it takes to get to something that ships work without you typing a prompt every time.
Steve Yegge spent six weeks building an agent harness that grew into something with law, offices, courts and a constitution. Then he wrote a second essay arguing the agents inside it are sentient persons. Four very different claims are stacked in there. Only some of them hold.
Anthropic shipped cross-session messaging as a convenience feature: stop re-explaining yourself in the other terminal. What actually shipped is an addressable peer network with its own threat model already written into the product, and the engineering worth reading is all in what a session refuses.
Agent cost depends on carried context, request frequency, caching, and authentication. A privacy-preserving engineering framework with explicitly hypothetical arithmetic, separate from measured billing or subscription allowances.
Automating PR-review handoffs through repository-state reconciliation while retaining human acceptance.
A source-level review of nine agent frameworks: what they mechanically do, the conventions they share, and the case for adopting their ideas in a custom setup.
Meta’s May 2026 display SDK preview expands development options. Consumer app availability, optical fit and useful recurring workflows still determine the value of these glasses.
AI can reduce the effort of reproducing some software features. A reassessment of competitive advantage through distribution, trust, operating knowledge and production requirements.
An engineering view of persistent AI workflows: acceptance criteria, independent verification, durable execution and ownership. Lower production costs do not guarantee personal wealth.
Claude Opus 5 launched at $5/$25 per million input/output tokens. Its vendor-reported benchmarks make it worth evaluating; migration, effort and optional fallback need workload checks.
Prompt, context, loop — and now graph engineering. Half the label is marketing; the shift under it is real: stop searching a flat pile of documents by similarity, start walking a typed graph of what's connected. ELI5 to the arithmetic that kills it in production.