Level Up Coding

“Level Up Coding” delves into the intricacies of Python programming, data augmentation for machine learning, and the challenges of enterprise RAG implementations. It explores the importance of understanding the speed of Python, the significance of short-term memory in AI applications, and the utilization of tools like Langchain for conversation history retention. Additionally, it discusses the pitfalls of treating data as static in the realm of generative AI and emphasizes the need for systems to not just read documents but truly understand and interact with dynamic big data.

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How AI helped me untangle an NES game from its hardware

Level Up Coding

From 6502 assembly to maintainable JavaScript, and what a second AI assistant revealed about the behavior we had left behind. Inside the Nintendo Entertainment System: the hardware behind the 8-bit g...

I Fused 3 Tiny Local Models to Beat Single-Model Limits (Without Weight Merging).

Level Up Coding

If you run local open-weights models for coding, you already know the compromise. Continue reading on Level Up Coding

Building Dynamic Workflows: A New Agentic System

Level Up Coding

A lead model writes the plan as a short checked program, and plain Python runs it with parallel workers Continue reading on Level Up Coding

Iceberg Was Fine. The Catalog Defaults Were Not.

Level Up Coding

Self-hosting Iceberg’s control plane: ephemeral signing keys, an in-memory metastore default, and the two restarts that cost me a catalog… Continue reading on Level Up Coding

Let’s Build Our Own Mutex in Rust

Level Up Coding

Parallelization is an easy way to make a program faster, at the cost of increased complexity. In Rust, the easiest way to deal with said complexity is with a Mutex. You just wrap your data in a Mutex,...

Database Transactions Beyond ACID: The Trade-Offs Engineers Actually Face

Level Up Coding

How isolation, commit acknowledgements, retries, and distributed workflows shape the guarantees an application actually receives. Continue reading on Level Up Coding

From Pixels to Vectors: Image Embeddings in Practice

Level Up Coding

How to optimize storage with embeddings and learn the technique through a practical project Photo by Nadine E on Unsplash In the previous article, we learned a little more about embeddings, how conte...

Teaching AI Agents to Remember: ADRs, Specs, Engineering Decisions

Level Up Coding

Image by author Teaching AI Agents to Remember: ADRs, Specs, Engineering Decisions — Part 2/5 of AI-Native Software Engineering Series How to make architectural decisions part of your AI-assisted deve...

From Shoe Specs to Recommendations: Building a Running Shoe Recommender

Level Up Coding

Let’s build an app to help us choose the right running shoes. Continue reading on Level Up Coding

Master SQL Retention Analysis: User & Cohort Retention

Level Up Coding

One-stop shop for product data scientists and job candidates: what is retention and its different types, how to calculate them, with the SQL application. Image by Author Retention metrics are core to ...

The Next 50 Years of AI: Who Gets the Power, and Who Gets a Say?

Level Up Coding

Smarter machines could make expertise more accessible. Whether they give ordinary people more control over their lives is a separate… Continue reading on Level Up Coding

The Ghost in the Smart Fridge: How Intelligence Became Small Enough to Live Anywhere — and Too…

Level Up Coding

Anthropic’s Frontier Red Team split a 26-billion-parameter model across fifteen $55 television boxes to measure how close small… Continue reading on Level Up Coding