Topics are drawn from a curated list of recurring themes in backend engineering, AI systems, and developer careers — areas I have direct interest and background in, covering patterns and trade-offs that come up often in real production work.

Articles are drafted with AI assistance, grounded in official documentation and established best practices. Some articles use a first-person "I" or "we" narrative with specific numbers or incidents to make trade-offs concrete — treat these as illustrative scenarios composed to reflect common real-world patterns, not as verified case studies from a specific company or system. Given the volume published here, not every article gets individual line-by-line review before it goes live — I rely on the correction process below to catch and fix mistakes.

I periodically review published articles, particularly ones getting traffic or reader feedback, and update or remove anything that's wrong, outdated, or doesn't hold up.

If you spot an error, tell me and I'll fix it. Technology also changes fast enough that older articles get revisited and updated as tools and best practices move on.