Build.ms: Making Technology Accessible To Everyone
Learn how to think about technology in a fast-moving world — I‘ll show you what matters and filter out the rest.
22 posts from the Top collection
Learn how to think about technology in a fast-moving world — I‘ll show you what matters and filter out the rest.
I spoke at NSSpain this year and gave a wide-ranging talk AI, building from the fundamentals to real-world uses — with something for everyone.
What the accidental Claude Code source code leak tells us about the real value of code, product market fit, and why integration is what actually makes software great.
The bar for shipping quality work hasn‘t lowered just because AI can generate code in minutes — and if you‘re accepting AI output without reviewing it, you‘re part of the problem.
Updating an open source library taught me a valuable lesson for making your codebase agent-friendly — small steps can have a big payoff.
Big companies are downsizing, not solely because of AI and corporate greed but because communication bottlenecks kill productivity and demoralize teams.
You‘re one step away from turning Codex into a proactive assistant that tackles low-hanging fruit while you sleep.
Learn a simple but effective technique that makes your blog more easily searchable for LLMs.
AI is making it cheaper and easier for anyone to build custom software solutions. The changes from this shift will be drastic, especially for SaaS companies.
The barrier to building with AI has dropped thousands-fold. What happens when you give everyone the tools to implement their ideas?
The sudden adoption of Claude Code by non-technical people represents an important moment in time — and one that will have a lasting impact on the way we work.
Every AI tool has its strengths and weaknesses, and the only way to discover what they are is by using them.
Did you know you can just point AI at a blog post and have it build a piece of software? That‘s where we are now.
AI lets people build any tool in minutes at practically zero cost. The result? An era of personalized, on-demand software.
Six months teaching people to build with AI taught me one thing: most people are just a few questions away from learning so much.
Real-world examples of how I used ChatGPT over a four-day weekend, providing practical insights for anyone curious about working with large language models.
A personal framework for choosing projects: focus on either small projects for quick learning or large projects for meaningful impact, while avoiding the medium-sized trap.
A practical analogy for understanding and improving how you work with AI tools like ChatGPT and Claude, moving beyond tips and tricks to develop better judgment.
A technical walkthrough of building a customizable Framer Code Component for Buttondown email signups, complete with Property Controls and open source code.
The story behind Plinky, my personal app for saving and organizing links that makes it incredibly easy to save links for later.
How will we solve problems in a new era of computation, where the very foundations of how a computer is expected to work are no longer deterministic?
Exploring whether coding is art or science, and how programming serves as a creative medium for solving problems and expressing ideas through code.