The fact that we're slowly removing the apprenticeship layer and passing it off as "productivity gains" should be far more alarming. Just imagine. The kind of work that is best suited for AI, such as boilerplate code, simple CRUD endpoints, and basic component wiring, is actually similar to the work that helps in training junior developers. It was not that we were working on those tasks because th
Why this list is different The "best" email API depends entirely on what you're building. A side project optimizing for the free tier needs different things than a Series B SaaS sending two million transactional emails a month. This post grades eight providers against the criteria that actually move the needle in production, and tells you which one to pick for which use case. Most roundups in th
If you want to Automate GitHub PRs, the real goal is not just adding another bot comment to a pull request. The goal is to give reviewers the context they usually have to gather manually: who owns the service, whether it is deployed, whether basic repository standards are in place, and whether the change looks safe to merge. A useful AI pull request workflow can do exactly that. When a PR opens, i
Applicant Tracking Systems used to be boring. For most of the 2010s, an ATS was essentially a database with a careers page bolted on top: a place to dump resumes, push them through a pipeline of stages, and email rejections in bulk. The interesting work happened around it, not inside it. That has shifted in the last two years, and the shift is deeper than the marketing pages suggest. I have spent
Well, I have been on GitHub since 2019, even before the lockdown. Back then, I did not properly use GitHub. I used to just make projects, upload the code, and share it with friends. But I never really understood the point of GitHub. I think I missed my tutorials on GitHub. But now, I’ll share some key ways to actually make the best out of it. Your GitHub profile is not just a bio page. It is your
A collective list of free APIs