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Cursor and Claude made coding 10x faster. But CI queues are backing up. Here's why build systems are now the critical constraint for dev teams.
Built a multimillion ARR curation business before AI. Here's why curation matters more now than it did a decade ago.
Open source was supposed to crush SaaS. Instead, it became SaaS. Now AI-generated software is making the same flawed promise.
Modern dev tools let engineers build the wrong thing 3x faster. The real challenge isn't technical execution—it's targeting the right problem.
Thinking of AI as a medium rather than a tool, fundamentally reframes society's approach to AI.
Startups spend millions on craft beer and fancy offices while missing the one thing employees actually need to stay engaged and committed.
The build-versus-buy calculation is changing. Creating custom software now rivals the ease of building a spreadsheet—and costs far less.
Open-weight models sound great on paper, but in the enterprise they create a fine-tuning treadmill, offer temporary advantages that evaporate, and lose to vertical AI with deeper domain expertise.
Free consulting work disguised as interviews. That's what most case studies have become. Here's the framework for doing it right, from both sides of the table.
Revenue flatlined. Churn crept up. Three quarters of missed numbers. But at all-hands? Smiles, vision decks, and talk of 'short-term headwinds.' The cost of that mask was higher than any missed target.
Without urgency, timelines slip. Decisions drag. Teams overbuild. Manufacturing deadlines that feel critical, even when they aren't, is the difference between shipping and stalling.
Most companies pressure new hires to deliver results in days. The best companies invest in deep product understanding first. One approach builds on quicksand. The other creates competitive advantages that compound.
