Programmer Weekly (Issue 225 October 3 2024)

Programmer Weekly - Issue 225

October 03, 2024

Programmer Weekly

Welcome to issue 225 of Programmer Weekly. Let's get straight to the links this week.

Quote of the Week

 

"What matters for simplicity is that there's not interleaving." - Rich Hickey

Reading List

The article discusses how Instacart integrated Large Language Models (LLMs) into their search stack to enhance product discovery and user engagement. By combining LLMs' extensive world knowledge with Instacart's domain-specific data, they were able to generate more relevant and inspirational content for search results, leading to improved user engagement and revenue.

Optimizing your code is a valuable addition to multi-core parallelism. In this article, we’ll see an example using SIMD.

The article discusses the challenges of creating code for human users, emphasizing the importance of intuitive design, easy onboarding, and clear examples. It argues that writing code for humans is more complex than for computers, as it requires understanding users' mental models and creating frameworks that are both powerful and easy to grasp.

Learn how we approached migrating our Wafris v1 client based on Redis to a new faster, easier to use SQLite architecture.

The article critically examines the V programming language, focusing on its unfulfilled promises and questionable claims since its inception in 2019. It highlights discrepancies between V's advertised features and its actual capabilities, particularly in areas like C/C++ translation, native code generation, and memory management.

The article demonstrates how to build a simplified version of a Delta Lake-inspired serverless ACID database in 500 lines of Go code with zero dependencies. It implements basic functionalities like creating tables, inserting rows, and scanning rows while achieving snapshot isolation and supporting concurrent readers and writers.

The post explains how ngrok built its data platform to handle growing data needs by adopting a scalable, event-driven architecture. It details their use of cloud-based data warehousing and pipeline tools like Snowflake and dbt to streamline data collection, processing, and analysis.

Would updating a tool few think about make a diff(erence)?

Watch and Listen

The video discusses building AI applications with PostgreSQL, covering topics like vector databases, PostgreSQL extensions for AI (pgvector, pgvectorscale, pgai), and various AI application types. It also includes a demo of using pgvector and pgai for a RAG (Retrieval-Augmented Generation) use case, emphasizing PostgreSQL's capabilities as a comprehensive solution for AI applications.

Ways to use LLMs efficiently, as a software engineer, common misconceptions about them, and tips/hacks to better interact with GenAI tools. 

Lustre is a web framework that takes a lot of inspiration from Elm, some from React, and a surprising amount from Erlang’s actor model, to provide a library that blurs the lines between executing on the client, or on the server.

Interesting Projects, Tools and Libraries

Library to build personalized AI powered by what you've seen, said, or heard. Works with Ollama. Alternative to Rewind.ai. Open. Secure. You own your data.

Blazingly fast code search.

NotebookLM is your personalized AI research assistant powered by Google's most capable model, Gemini 1.5 Pro.

A framework-agnostic tool that converts any layout into a drag-to-swap one with just a few lines of code.

Feldera is a fast query engine for incremental computation. Feldera has the unique ability to evaluate arbitrary SQL programs incrementally, making it more powerful, expressive and performant than existing alternatives like batch engines, warehouses, stream processors or streaming databases. 

Free and open-source map hosting solution with custom styles for websites and apps, using OpenStreetMap data.

Mitata is a high-performance benchmarking tool for JavaScript and C++ that offers precise measurements down to picoseconds and provides powerful visualizations in the terminal. It features automatic garbage collection, universal compatibility across various JavaScript engines, and the ability to easily create argumentized benchmarks with range and combination options.

Rapid, easy full-stack web development starter kit in Go. 

A library for building web applications with JSX and Web Components. 

A single binary kubernetes dashboard to manage your multiple clusters.

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