🧵 (2/2) I really like how Bjarne Stroustrup portrays the language, no bold statements or tension, just strong dedication to the course. What he has achieved is admirable.
#Cpp #C #Programming #SystemsProgramming #SoftwareEngineering #BjarneStroustrup
🧵 (1/2) Get yourself a cup of tea or coffee and watch this warm video that with the very beginning of C++. In the high-performance computing world we may or may not like certain aspects of C++, but the fact remains that the whole automation world from microcontrollers to large data centres runs on this language one way or another. It is a nice warm video that covers the story of the language.
I came across an engaging interview by Eleonora Sayaka with Kazuhiko Nishi, the quiet visionary behind the MSX. The very MSX that greatly influenced my choices in life. It let me experience magic early on and apply it in new areas. Nishi's journey is both educational and thought provoking. It is a lesson in bravery, passion and dedication.
Is this the most exciting time? It certainly feels that way to me.
I thoroughly enjoyed watching this video and I hope you do too. It is so cool to be here now when you are thirsty for knowledge.
🧵 (2/2) codeloom builds a queryable code graph from your entire codebase, every function, class, import, call, and document, and exposes it to your AI agent. One install, and your agent stops grepping and starts understanding.
🧵 (1/2) AI coding agents are powerful but fundamentally blind to your codebase structure. When your agent edits validate_token(), it has no idea that 47 callers depend on its return type. When it searches for "database connection", it greps blindly through every file. Without a code graph, your agent works like a surgeon operating without an X-ray, skilled but guessing at what's inside.
🧵 (2/2) If you're tempted to never return to your IDE or text editor, enjoying the presumed comfort of the architectural throne... you're in for a big surprise. Your house of cards will crumble under the weight of technical debt.
Scary, isn't it? The lengths to which machines will go to please an ignorant master.
#AgenticAI #LLMs #SoftwareArchitecture #TechnicalDebt #MissionCriticalSystems
🧵 (1/2) Using rapid agent-based development in complex, mission-critical systems requires laser-like focus, attention to seemingly innocent details, and an almost supernatural amount of patience.
You have to understand what LLMs are and what they are not. That means ignoring the hype and diving into the gritty implementation details, hardships and all.
🧵 (2/2) Forked the project closest to the vision and dived into coding: hybrid search, incremental builds, better relevance scores, source-vs-test prioritisation. It already cuts through a lot of noise grep subjects you too.
The pencilled roadmap is Agents → Knowledge Base → Advanced memory → Dream Machines…
#RAG #KnowledgeGraph #LocalFirst #AgenticMemory #TokenEfficiency #AI
🧵 (1/2) Agents are improving fast, but how they acquire knowledge remains prehistoric: glob and grep. The less they know, the more you pay in tokens.
I've been hunting for a tool that could build a solid graph covering our company's entire knowledge base. Everything I tried hit the familiar walls: over-engineered complexity, vendor lock-in, no local-first option. Privacy was non-negotiable.
