If you believe what you see on LinkedIn, startups don't need employees anymore, real founders just have agents building their companies. You write a prompt, fire off the agent, and wait for customers. In reality, you get a vague workflow that produces a mediocre demo at best.
In the first of a series exploring infrastructure fundamentals, Brenden addresses the most frequently asked questions about what's really happening under the hood with complex pipelines and AI/data systems, bringing the cloud to life.
I recently encountered a issue with MySQL query performance. A particular query would perform very badly in production, but perform very well in the testing environments.
For small teams without a designer, v0 is a game-changer. The cost justifies itself by letting you explore and validate ideas in minutes rather than days.
Shiny frameworks promise magic, but like cheap non-stick pans, they scratch, peel, and end up in the bin. Boring technology, like stainless steel, isn’t sexy, but it lasts for decades if treated well. The lesson? Build for the long haul, not the quick thrill.
The most common mistake in mobile product launches is assuming the app store submission process is routine. It isn’t. From mismatched requirements between Apple and Google to last-minute policy changes, this is where launch plans unravel.
AI agents aren’t just chatbots. They observe, plan, and act to solve problems across systems. Powerful for workflows but costly and prone to errors, their value comes from tackling focused business problems, not the hype.
What can investors do about legacy code to prevent your startup from failure? What is the difference between legacy and technical debt?
Tired of git blame pointing to useless formatting commits? Learn how to ignore revisions with --ignore-rev or .git-blame-ignore-revs to keep Git history accurate and helpful.