Token Usage Is an Input Cost, Not an Engineering Outcome
Counting tokens repeats an old measurement mistake unless AI-assisted work is evaluated through delivery, quality, and user outcomes.
Design, construction, verification, operation, and reliability of technical systems.
12 published materials across notes, projects, and publications.
Work whose central question belongs to Engineering.
Counting tokens repeats an old measurement mistake unless AI-assisted work is evaluated through delivery, quality, and user outcomes.
Slack's agent-driven E2E experiments expose a useful new execution model, but adaptation must remain separate from the authority to declare success.
Playwright's mature tooling makes it a strong default for new browser automation, but migration should be decided through a representative experiment.
Property-based testing is more than randomized input generation; its value depends on the property, distribution, oracle, shrinking, and evidence.
MetronForge is an independent research notebook for engineering observations, computational experiments, projects, and formal publications.
Pyramids, trophies, and honeycombs summarize different testing economics; a defensible strategy begins with risks, evidence, and feedback constraints.
Version control and CI improve documentation workflow, but a successful build cannot establish that instructions remain true, complete, or usable.
Pierre Pureur and Kurt Bittner correctly place decisions at the centre of architecture; their importance follows from reversal cost and blast radius.
Work centred elsewhere that materially uses or informs Engineering.
ARD can help agents find capabilities across organizations, but discovery metadata must remain outside the trusted execution boundary.
Agent stacks should be selected layer by layer, with explicit contracts for state, tools, memory, evaluation, and recovery.
GitHub MCP tool filtering reduces context and accidental capability exposure, but real least privilege also requires identity, authorization, and effect controls.
Indexing, search, and RAG over a personal vault. Pipe’s, FAISS, integrations.