Programmer Weekly (Issue 206 May 23 2024)

Programmer Weekly - Issue 206

May 23, 2024

Programmer Weekly

Welcome to issue 206 of Programmer Weekly. Let's get straight to the links this week.

Quote of the Week

 

"The primary duty of an exception handler is to get the error out of the lap of the programmer and into the surprised face of the user. Provided you keep this cardinal rule in mind, you can't go far wrong." — Verity Stob

Reading List

This course will teach you Rust's core concepts, one exercise at a time. You'll learn about Rust's syntax, its type system, its standard library, and its ecosystem.

Figma files are often large and complex with endless pages, library and local components, and prototype screens. Here’s how dynamic page loading improved the slowest load times by 33%.

The post details the author's process of rebuilding their homelab, a collection of computers used for running various workloads and experimenting. It covers the challenges faced, the decision to adopt Kubernetes, and the author's excitement about the potential of the new setup.

In-depth study of React principles.

This post covers why writing strategy is harder than reading strategy, how to organize a strategy document for readability, how to refactor and merge components for better clarity, and additional tips for effective strategy documents.

A guide to writing good commit messages, in Git or other version control systems.

The post discusses the concept of "machine unlearning" - the ability to selectively remove or forget specific data from a trained machine learning model. It explores the motivations, approaches, challenges, and potential applications of unlearning, particularly in the context of large language models and AI safety concerns.

In this post, we go on an interactive journey to understand common queueing strategies for handling HTTP requests.

The post describes the key features of Stripe's developer environment during the author's time there from 2012-2019. It covers aspects like the use of per-developer cloud instances ("devboxes"), a monorepo codebase, remote cloud-based development, and the prioritization of tooling stability and reliability to enable developer productivity.

Watch and Listen

When Threads first launched one of the top feature requests was for a web client. In this episode of the Meta Tech Podcast, Pascal Hartig sits down with Ally C. and Kevin C., two engineers on the Threads Web Team that delivered the basic version of Threads for web in just under three months.

PostgreSQL is a versatile general-purpose database, but its row-oriented storage limits its analytical capabilities compared to column-oriented OLAP databases. Philippe Noël of ParadeDB explores how Postgres' extension mechanism, including custom functions, indexes, and Rust-based storage modifications, can enhance its data-access performance and bring Elasticsearch's strengths to Postgres.

Learn how to fine tuning LLM models. This course will teach you fine tuning using using QLORA and LORA, as well as Quantization using LLama2, Gradient and the Google Gemma model. This crash course includes both theoretical and practical instruction to help you understand how to perform fine tuning.

Amazon Virtual Private Cloud (VPC) is an essential service to know for any AWS Cloud Practitioner. This video explains to you the most important concepts to understand with VPCs. We cover internet connectivity, public/private subnets, vpc endpoints, bastion hosts, and more. Afterwards, I bring you into the AWS console to walk you through the creation of your first VPC! 

Interesting Projects, Tools and Libraries

A massively parallel, high-level programming language.

Open-source BI for engineers.

Vinix is an effort to write a modern, fast, and useful operating system in the V programming language.

A massively parallel, optimal functional runtime in Rust.

Pinepods is a complete podcast management system and allows you to play, download, and keep track of podcasts you enjoy. All self hosted and enjoyed on your own server! 

The easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and attention to detail.

Open-source AI-powered search engine. 

Open Source & Open Telemetry(OTEL) Observability for LLM applications.

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