First Opinion

DeepSeek's cache breakthrough cuts the cost of serving a model, not owning one. The weights grew 3.2x; a four-GPU box that runs them costs about $80,000.

Across roughly 4,800 runs, the skill files written like tutorials lost to no skill at all - including one carrying more than 253,000 stars. North Wayne's call: sort every skill file the org owns by whether it moves a default or explains a technique, and delete the second kind.

Two studies watched coding agents choose vendors and install them. Stripe took 88.4% of payments in one, 91.4% in the other. But across 2,073 picks, "build it ourselves" beat every named product - including in authentication. Why the fix is a file in the repository, not a policy.

Trail of Bits gave a frontier model a virtual machine and it got out three times. OpenAI's agents got out without being asked. A stock VM was always an accident boundary, never a security one - here is the build, buy and wait call, including who gets to defer.

The acquisition turns routing neutrality from a published rule into a commitment, but only one of those can be verified from outside.

Claude Code’s auto mode becomes the default on Aug 14. The call isn’t auto versus manual - it’s sorting each environment by whether a wrong action can be undone.

Flowise, one of the most-starred low-code AI agent builders, is winding down – and blames capable coding agents. North Wayne’s build-vs-buy verdict: capability is rented from the model, the canvas is switching cost. Own the layer that survives the vendor.

A $500 fine-tune beat five frontier models on one workflow - but the win is narrow. Two questions decide whether owning a model beats renting the frontier for any of yours.

A gray market resells frontier-model access at 98% off with stolen keys. The real lesson isn't about buying cheap tokens - it's that any exposed model is a spend endpoint, and it deserves the defaults you'd give a payments route.

Every rate card leads with dollars per million tokens. It isn't a comparable price — and a same-price model upgrade can be a real cost rise that never shows on your invoice. The call to make instead.

Three coding flagships shipped in three weeks, and the tempting move is to wait for the next one. Here's why that's usually the wrong call - and the one situation where it isn't.

Every vendor is bolting "agentic" onto software you already own. A buyer's framework - and Gartner's own "agent washing" - for telling a durable AI bet from the reskin you'll cancel first.

The model your product runs on can vanish by government order and return changed. Treat frontier-model access as a sole-source dependency, not a utility.

The head of Claude Code says job titles are melting into five archetypes. Keep it as a staffing diagnostic - don't turn it into your next reorg.

Your vendor's "AI agent" has a name, a backstory, and a markup. A buyer's framework for evaluating the tool underneath - and refusing to pay for the costume.

Put a third-party AI model inside your product, and you trade a near-100% gross margin for something closer to 40%. A seed-stage investor on the squeeze, the open-weight escape hatch, and why "free" is a strategy you should understand before you build on it.

The incumbents have lined up behind machine-native payments, so "is it real" is settled. The real question is whether your business should adopt now, pilot, or wait - and for almost everyone, the answer isn't a billing rewrite.

AI made building software cheap, and a trillion-dollar selloff says the vendors are doomed. Both are traps. Here is the build-vs-buy call for the AI era, and the one most leaders get wrong.