Using Tcl to write more readable and portable automation noscripts

Paste any GitHub URL → interactive architecture map. See how files connect, find what breaks if you change something. No install, no accounts — runs entirely in your browser. - braedonsaunders/code...

Designing a scalable ecommerce architecture on AWS

#aws #education #programming #architecture #systemdesigninterview #coding #ecommerce #abctechlab

Dear JS ecosystem, I love you, but you have a dependency management problem when it comes to the Web, and the time has come for an intervention.

Data Structures and Algorithms ( DSA ) in C++ / C Plus Plus - GitHub - suresh-srivastava/data-structures-and-algorithms-in-cpp: Data Structures and Algorithms ( DSA ) in C++ / C Plus Plus

In this video, I’ll show you how semantic caching works and how it can reduce your LLM API costs. We build a simple setup where we call an LLM using LangChain, use OpenAI’s ChatGPT as the model, and add Redis as a semantic cache layer. The goal is to avoid…

Simplifying Complex Systems With a Clean, Unified API

Is there still room?

Supporting every database in the world is an impossible task for a small team. So we built a plugin system that lets anyone add a new database driver — in any language.

Programs Should Be Valid as They Are Typed

Developers Are Safe… Thanks to Corporate Red Tape

At War With The Thinking Machines

Interactive knowledge graph for codebases. Contribute to neur0map/prowl development by creating an account on GitHub.

DeFi is everywhere, from lending and perpetuals to prediction markets, and they all depend on one thing: reliable price oracles.

Adding that to your Cartesi app is simple. Check out this video to see what the architecture looks like when you integrate a…

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This is long compilation of all the recorded MCP security flaws in the wild.

Use Github Actions and the Vercel CLI to automate the deployment of a static website to Vercel.

Developer-first Python framework for AI agents with built-in cost control and observability. - syrin-labs/syrin-python

Code coverage is a guide, don’t let it give you false confidence. Test the happy path, and the unexpected ones. Validate function outputs against the input you provide. 100% Coverage is easy. Writing reliable code is not.