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.
Recreating a Titanic Spark-Gap Transmitter with Python, High Voltage, and ESP32
If you don’t have a Medium account, a video version is available on YouTube. Today we will make a Python project that has absolutely no commercial value and that nobody will ask you during a job inter...
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What Happens During a Production Deployment? A Behind-the-Scenes Guide
You push your code. A few minutes later, it is live for real users. Between those two moments runs a long chain of machinery: builds, artefacts, migrations, health checks, traffic shifts. Every produc...
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Why Neural Networks Learn: The Story of Gradient Descent, Cross-Entropy, and the Error Landscape
I was reading about gradient descent and kept running into the same image. A model sits on a hill. It rolls downhill until it reaches the bottom. Every machine learning course seems to use some versio...
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I Thought Rust Generics Were Just Java Generics With Better Syntax
I’d used generics in Java for years and assumed Rust’s <T was the same idea in different clothes. A box that holds a type, the compiler checks it, done. Then I tried to call .clone() on a generic T an...
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How to Prompt AI Agents Like Claude, Antigravity, and Codex?
Are classic prompt engineering frameworks like CO-STAR, CRISPE, and RTF officially a thing of the past? And if you’re building software or managing business operations, how should you actually structu...
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How Force Merge Compaction Nearly Doubled Milvus Search QPS
I recently found myself wrestling with a semantic search service that was performing adequately, but not optimally. We had ingested a substantial corpus of documents, and while initial QPS numbers wer...
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We Made Our Access Control Too Granular. Here’s What It Cost Us
There is a version of security best practice that sounds unimpeachable in a design review and becomes a maintenance nightmare in production. Least privilege access is one of those principles. Nobody a...
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The Laravel Guide to Semantic Image Search
The screenshot is intentionally small. Four local SVG assets, one Laravel controller, one indexing command and a faked embedding provider for repeatable tests. The point is not to pretend a demo is pr...
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The Banyan Tree called StackOverflow is Dying
The banyan tree where every programmer once gathered for answers is losing its leaves. We moved to AI. Who writes the first answer now? Continue reading on Level Up Coding
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Postgres Index Types Explained: B-tree, GIN, BRIN, and Operators
In my post about JSON and JSONB I told you to create a GIN index with jsonb_path_ops and moved on, because that post was about a column type and not about indexing. This one pays the debt. What a GIN ...
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Can AI Agents Change Each Other’s Minds?
I built a replayable AI jury to find out, through an observable A2A experiment. This experiment explores one question: Can communication make AI agents smarter than independent voting? An observable ...
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How Distributed Systems Fail: A Field Guide to the Bugs You Cannot Test For
On October 4, 2021, Facebook went offline for approximately six hours. It was not a partial outage or degraded performance. The entire property, including Instagram, WhatsApp, and the internal tools F...
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