Engineering guides and deep dives on Agents - short how-tos and long-form breakdowns.
Nobody can tell you in advance whether delegating to an agent will be faster. You can always know what it costs if it is wrong. Six rules for routing decisions by reversibility.
A Forward Deployed Engineer embeds inside the customer environment to make frontier AI work against real data, workflows, and compliance - scope, eval, deliver - not from a ticket queue.
Flash scores 79.0 on SWE-bench Verified against Claude Opus 5's 96.0, and 60/100 on a real agentic build. Route it as the cheap executor behind a frontier planner, at 1/89th of Opus 5's output cost.
Every model on opencode's Zen free list is time-limited, and January's free set had almost entirely turned over by July. Adopt it for the harness, and budget the paid fallback before it arrives.
A high accuracy score often means the tool did well on one practice test - not that it can prove who wrote your essay. Wrong accusations, new AI models, and 'humanizer' rewrites all punch holes in that number.
Decide open-weights vs closed API by data path, TCO, and ops burden - then hybridize by layer. Most 'open' models ship weights only, not training code or data.
A scoping method for LLM-assisted builds: measurable goals, risk-first order, and task size capped by what you can review in one sitting instead of by the calendar - plus a sunk cost checkpoint and a ready-to-copy planning prompt.
Everything in one place: mindset, planning, the session loop, a worked example, ten practices ranked by blast radius, git/prompting/debugging/testing/security playbooks, ten tools with 2026 pricing, and the commands that recover a session gone wrong.