not icso

Hey everyone

Lately I ve been noticing something in my workflow:

Sometimes I jump into prompting AI before I fully understand the problem itself.
Or I use AI to reduce friction instead of slowing down and thinking more deeply.
And because the output often sounds convincing, verification can become weaker too without noticing.

I've been using Claude Code heavily for the past few months while building my startup (12k+ line Python codebase), and it's genuinely changed the way I develop. It navigates large codebases with context that I haven't seen from any other tool: understanding file relationships, catching upstream/downstream effects of changes, and reasoning about architecture-level decisions, not just autocompleting lines.

But what really caught my attention is the business side. Anthropic is forecasting cash-flow positive by 2027, while OpenAI is projected to burn through $115B+ through 2029. Claude Code alone reportedly crossed $1B in annualized revenue. Their API revenue is estimated at double OpenAI's. And they're doing all of this with significantly lower burn.

Hey everyone

I ve been continuing to explore the question:

How do we use AI without outsourcing our thinking?