MrComputerScience.com
Blog For Marketing And Tech Nerds
This category contains some of my best blog posts about developer tools, AI frameworks, and the software that engineers use to build modern applications.
Technology evolves incredibly fast. New developer tools appear constantly, promising to improve productivity, simplify complex workflows, and unlock new capabilities for programmers and engineers.
From AI coding assistants to machine learning frameworks, vector databases, testing tools, and debugging platforms, the right tools can dramatically accelerate how quickly developers build and ship software.
If you enjoy discovering powerful tools that make programming easier, faster, and more creative, then this category is for you. I regularly explore the tools, frameworks, and platforms that developers use to experiment, prototype, and deploy real world applications.
Look below this text for some of my best developer tools blog posts.
Traditional application monitoring tells you when your service is down and how long requests take. It tells you nothing useful about an LLM application. A model that is responding in 200ms with 200 …
Continue Reading about The LLM Observability Stack Nobody Told You About →
LangChain became the default framework for building LLM applications in 2023 because it was first and it had everything. It also became the default framework to rip out in 2024 and 2025 because …
The test was not a benchmark suite or a collection of LeetCode problems. It was a real feature: a rate-limited async job queue with retry logic, dead letter handling, and a Redis backend, implemented …
Continue Reading about I Tested 5 AI Coding Assistants on the Same Real Python Project →
