Curious how a kernel keeps its module chaos under control? “How Linux Shapes Its Module World” breaks down the ideas behind its module design.
Mahmoud Zalt
AI engineer & technical consultant, bringing structure, clarity, and engineering discipline to complex projects.
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Most people focus on model size, but The Tiny Tokenizer That Shapes Llama shows how a small text step quietly steers everything your LLM does 🔎
Read More: https://zalt.me/blog/2026/01/tiny-tokenizer-llama
How does React turn a storm of updates into one clean commit? This piece breaks down the path from chaos to a predictable UI pipeline.
When plain functions become robust prompts, you stop thinking in prompt templates and start thinking in code, while still getting reliable prompt behavior.
Read More: https://zalt.me/blog/2026/01/plain-functions-prompts
How NumPy teaches us to pad smart isn’t just about adding zeros to arrays; it’s about designing padding that stays flexible, predictable, and clean.
Read More: https://zalt.me/blog/2026/01/numpy-pad-smart
What does “The Local Microservice Behind Every Model” really mean in practice? Think of each model as its own small service running right beside your app.
Read More: https://zalt.me/blog/2026/01/local-llm-microservice
#microservices #softwarearchitecture #machinelearning #backend
When does a simple eval stop being a helper and start acting like a full execution engine? Exploring the boundary where evaluation turns into control.
Read More: https://zalt.me/blog/2026/01/eval-execution-engine
Ever wondered why working with pandas can feel so straightforward despite what’s under the hood? This dives into the facade that keeps it simple.
Read More: https://zalt.me/blog/2026/01/pandas-facade
What if your stack only needed one function to talk to every LLM? This piece breaks down the idea and why it can simplify your architecture.
How does Keras actually run your training under the hood? Think of a training conductor quietly coordinating every step behind model.fit().
A huge observability platform, kicked off by a tiny struct. “The Tiny Struct That Boots Grafana” is a neat reminder of how small coordination logic can be.
Read More: https://zalt.me/blog/2025/12/tiny-grafana-bootstrap
Curious how a single text prompt becomes a full image? This breakdown of the guidance engine behind Stable Diffusion focuses on the orchestration, not the magic ✨
Read More: https://zalt.me/blog/2025/12/guidance-engine
Wondering how Linux decides what runs next on your machine? This breakdown of how it picks each new CPU time slice makes the scheduler’s logic much clearer.
How does Bitcoin actually start up without putting funds at risk? “How Bitcoin Boots Safely” breaks down the boot process and the safety mindset behind it.
Building desktop apps with Electron? Think of the App Module as your control tower, coordinating everything from one place instead of scattered hooks ✈️
Read More: https://zalt.me/blog/2025/12/electron-app-control-tower
Ever had a “sleep” request vetoed by storage? This piece digs into how a filesystem sync can be the final arbiter of whether your system actually sleeps 😴
Read More: https://zalt.me/blog/2025/12/filesystem-sync-sleep
Hello World. 👋
I’m here to share a series of deep dives into software internals.
My goal is to reverse-engineer the design choices behind popular open-source projects and AI architecture to see what we can learn from them.
Client Info
Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst