Comment by potsandpans

For anyone reading this and wondering where the truth could possibly be:

We can't really know what the truth is, because Anthropic is tightly controlling how you interact with their product and provides their service through opaque processes. So all we can do is speculate. And in that speculation there's a lot of room (for the company) to bullshit or provide equally speculative responses, and (for outsiders) to search for all plausible explanations within the solution space. So there's not much to action on. We're effectively stuck with imprecise heuristics and vibes.

But consider what we do know: the promise is that Anthropic is providing a black-box service that solves large portions of the SDLC. Maybe all of it. They are "making the market" here, and their company growth depends on this bet. This is why these processes are opaque: they have to be. Anthropic, OpenAI and a few others see this as a zero-sum game. The winner "owns" the SDLC (and really, if they get their way the entire PDLC). So the competitive advantage lies in tightly controlling and tweaking their hidden parameters to squeeze as much value and growth as possible.

The downside is that we're handing over the magic for convenience and cost. A lot of people are maybe rightly criticizing the OP of the issue because they're staking their business on Claude Code in a way that's very risky. But this is essentially what these companies are asking for. The business model end game is: here's the token factory, we control it and you pay for the pleasure of using it. Effectively, rent-seeking for software development. And if something changes and it disrupts your business, you're just using it incorrectly. Try turning effort to max.

Reading responses like this from these company representatives makes me increasingly uneasy because it's indicative of how much of writing software is being taken out from under our feet. The glimmer of promise in all of this though is that we are seeing equity in the form of open source. Maybe the answer is: use pi-mono, a smattering of self hosted and open weights models (gemma4, kimi, minimax are extremely capable) and escalate to the private lab models through api calls when encountering hard problems.

Let the best model win, not the best end to end black box solution.