The hottest Programming Substack posts right now

And their main takeaways
Category
Top Technology Topics

Kent's Going Home

Software Design: Tidy First? • 905 implied HN points • 12 Aug 25
🕹 Technology Programming
  1. The author has recently bought a house after a significant life change, marking a fresh start. It's a big step after a challenging nine years, and they feel emotional about it.
  2. They mention wanting to hear waves, which suggests a longing for peace and connection to nature in their new home. The sound of waves symbolizes a calming new beginning.
  3. The author is keeping some details private to protect their personal life, but they are excited about this new chapter. It's clear that this move is meaningful and brings them happiness.

What's up Python? Mypy gets better, uv faster, FastApi easier, Emscripten formal...er

Bite code! • 1223 implied HN points • 06 Jul 25
🕹 Technology Programming
  1. Emscripten support is now official, which makes it easier to run Python in web browsers. This means you can execute Python code without needing a server.
  2. Mypy has released a new version that fixes some annoying issues and allows more flexible coding styles. Now you can redefine variables more easily without strict type checks.
  3. FastAPI's creator has started a new company to make it simpler to deploy FastAPI projects. This service aims to streamline the deployment process with just one command.

o1 Turns Pro

Don't Worry About the Vase • 3449 implied HN points • 10 Dec 24
🕹 Technology Programming
  1. The o1 and o1 Pro models from OpenAI show major improvements in complex tasks like coding, math, and science. If you need help with those, the $200/month subscription could be worth it.
  2. If your work doesn't involve tricky coding or tough problems, the $20 monthly plan might be all you need. Many users are satisfied with that tier.
  3. Early reactions to o1 are mainly positive, noting it's faster and makes fewer mistakes compared to previous models. Users especially like how it handles difficult coding tasks.

Code “Smells”?

Software Design: Tidy First? • 2181 implied HN points • 03 Jul 23
🕹 Technology Programming
  1. Code that works might still be problematic if it's hard to understand or change later on.
  2. It's important for programmers to focus on writing code that not only works now but is also easy to change in the future.
  3. The analogy of 'code smells' is like food that smells bad: a warning of potential future issues in the code.

Weekend projects: Sketchy Sketch

lcamtuf’s thing • 3060 implied HN points • 06 Jan 25
🕹 Technology Programming
  1. A new version of the Etch-A-Sketch toy, called Sketchy Sketch, was created to be more user-friendly and modern. It uses digital controls for drawing and animating, unlike the old mechanical version.
  2. The Sketchy Sketch is built using a microcontroller and a display, allowing kids to create pixel art easily. It has a simple menu system and saves multiple images.
  3. The project shows that it's fun and rewarding to build something from scratch. The creator shares the parts and code online, encouraging others to try similar projects.
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Don't build a platform... unless?

lcamtuf’s thing • 2856 implied HN points • 23 Jan 25
🕹 Technology Programming
  1. Building a platform is hard and often not worth the effort. It's usually better to focus on creating a good product first.
  2. To make a successful platform, you need to either find a unique idea, have a strong personal following, or get backing from big companies.
  3. Having good code isn’t enough to make a platform thrive; you need visibility and support from the right people to attract users.

Hardcore Debugging

Jacob’s Tech Tavern • 2842 implied HN points • 13 Jan 25
🕹 Technology Programming
  1. Bugs in apps can sometimes be easy to fix, but some problems are hidden deep in the system and harder to find. These serious issues can cause crashes that are tricky to solve.
  2. When dealing with a crash, you can use tools like Git Bisect to look back in time or symbolicate crash logs to find out what went wrong. These methods help narrow down the problem.
  3. Understanding how crashes occur in the kernel memory management can take time, but specific techniques exist to make debugging easier and faster. It's all about using the right tools at the right time.

The Great Tech Demographic Survey of 2025

The Lunduke Journal of Technology • 2297 implied HN points • 10 Feb 25
🕹 Technology Programming
  1. A big survey is happening to gather data on tech workers' preferences and opinions. It asks about topics like programming languages, operating systems, and even personal beliefs.
  2. Everyone's answers will be anonymous, and you can choose which questions to answer. This approach aims to collect honest and diverse opinions.
  3. More participation leads to better data. The survey from last year had over 7,200 responses, and the goal is to get even more this time.

Demystifying GPU Compute Software

The Chip Letter • 6989 implied HN points • 10 Mar 24
🕹 Technology Programming
  1. GPU software ecosystems are crucial and as important as the GPU hardware itself.
  2. Programming GPUs requires specific tools like CUDA, ROCm, OpenCL, SYCL, and oneAPI, as they are different from CPUs and need special support from hardware vendors.
  3. The effectiveness of GPU programming tools is highly dependent on support from hardware vendors due to the complexity and rapid changes in GPU architectures.

What is a Crash?

Jacob’s Tech Tavern • 3498 implied HN points • 04 Nov 24
🕹 Technology Programming
  1. A crash happens when an app unexpectedly stops, but it can actually be a safety measure to prevent bigger problems. Think of it like a controlled explosion that protects your device.
  2. There are two main types of crashes: those caused by the Swift Runtime and those from the XNU Kernel. Each has its own reasons for triggering a crash to protect the system.
  3. Crashes don't just cause inconvenience; they are there to protect users from worse issues, like losing data or compromising security. They help keep everything safe even when things go wrong.

Monthly Python Data Engineering, August 2024

Monthly Python Data Engineering • 59 implied HN points • 19 Aug 24
🕹 Technology Programming
  1. Datafusion Comet was released, making it easier and faster to use Apache Spark for data processing, which is great for improving performance.
  2. Several major data tools like Datafusion, Arrow, and Dask updated their versions, showing ongoing improvements in speed, efficiency, and new features.
  3. New dashboard solutions like Panel and updates in libraries such as CUDF reflect the growing interest in making data access and visualization easier for users.

Publisher + Subscribers ~ Observer Pattern

System Design Classroom • 419 implied HN points • 04 May 24
🕹 Technology Programming
  1. The Observer Pattern creates a one-to-many relationship. This means when one object's state changes, all of the connected objects are notified.
  2. Components can be loosely coupled, allowing them to work together without needing to know much about each other. This makes it easy to add or change observers.
  3. Because observers can be added or removed without modifying the main subject, the system stays flexible. This helps avoid complications in your design.

What's up Python? Unpacking in Comprehensions, Android Wheels, and uv is a big boy now...

Bite code! • 856 implied HN points • 01 Aug 25
🕹 Technology Programming
  1. PEP 798 aims to introduce unpacking in comprehensions, making it easier to combine elements from different iterables in Python.
  2. cibuildwheel has added support for building Python packages on Android, making it more versatile for app development.
  3. The uv tool now installs Python versions directly into the system PATH and registers them with the Windows Registry, making it a strong alternative for managing Python installations.

Cloud Development Environments Tame Complexity By Reducing State

Software Design: Tidy First? • 729 implied HN points • 14 Aug 25
🕹 Technology Programming
  1. Using cloud development environments can help reduce the complexity of coding by providing a stable setup that everyone can rely on. This means fewer interruptions and more time for actual coding.
  2. When development environments are the same for everyone, it simplifies tracking issues and fixing problems, making it easier to return to a known good state if something goes wrong.
  3. Developers might take more creative risks and try new projects since they won't be as worried about wasting time fixing setup issues. This could lead to new, valuable software that wouldn't have been created otherwise.

TDD Prerequisites

Software Design: Tidy First? • 1631 implied HN points • 02 Nov 23
🕹 Technology Programming
  1. TDD outcomes include ease, reliability, sustainability, and responsibility.
  2. Prerequisites for TDD include predicting inputs/outputs, predicting/discovering cases, and ensuring micro-tests yield macro-results.
  3. Apply TDD only when the costs are reasonable and constraints are manageable.

Softcore Debugging

Jacob’s Tech Tavern • 2405 implied HN points • 21 Jan 25
🕹 Technology Programming
  1. Xcode has many built-in debugging tools that can help developers troubleshoot their apps. It's helpful to explore these tools to find new ways to fix issues.
  2. Conditional breakpoints can make debugging more efficient by allowing developers to stop the app under specific conditions. This saves time during the debugging process.
  3. Learning faster LLDB commands and memory graph traversal techniques can enhance a developer's ability to diagnose issues quickly. Familiarizing yourself with these options can improve coding skills.

💥 Tech Talks Weekly #29

Tech Talks Weekly • 79 implied HN points • 30 Aug 24
🕹 Technology Programming
  1. This week features new talks from 11 conferences, including GopherCon UK 2024 and PyCon US 2024. It's a great way to catch up on the latest in tech from experts in the field.
  2. The Tech Talks Weekly newsletter provides a convenient way to stay updated without the clutter of platforms like YouTube. You can watch talks at your own pace and reduce FOMO.
  3. Readers are encouraged to share the newsletter and provide feedback through a form. This helps improve the content and build a better community around technology discussions.

The Swift Compiler

Jacob’s Tech Tavern • 2624 implied HN points • 24 Dec 24
🕹 Technology Programming
  1. The Swift language was created by Chris Lattner, who also developed LLVM when he was just 23 years old. That's really impressive given how complex these technologies are!
  2. It's important to understand what type of language Swift is, whether it's compiled or interpreted, especially for job interviews in tech. Knowing this can help you stand out.
  3. Learning about the Swift compiler can help you appreciate the language's features and advantages better, making you a stronger developer overall.

Import 355: Local LLMs; scaling laws for inference; free Mickey Mouse

Import AI • 1058 implied HN points • 08 Jan 24
🕹 Technology Programming
  1. PowerInfer software allows $2k machines to perform at 82% of the performance of $20k machines, making it more economically sensible to sample from LLMs using consumer-grade GPUs.
  2. Surveys show that a significant number of AI researchers worry about extreme scenarios such as human extinction from advanced AI, indicating a greater level of concern and confusion in the AI development community than popular discourse suggests.
  3. Robots are becoming cheaper for research, like Mobile ALOHA that costs $32k, and with effective imitation learning, they can autonomously complete tasks, potentially leading to more robust robots in 2024.

HN blogs -3/10/24

HackerNews blogs newsletter • 19 implied HN points • 03 Oct 24
🕹 Technology Programming
  1. Building a personal ghostwriter can help with productivity and writing tasks. It's about creating a tool that assists you effectively.
  2. Refactoring code is important for improving software. It makes programs easier to understand and maintain, even for those who aren't programmers.
  3. AI and machine learning can benefit from powerful hardware setups. Training models on many GPUs can significantly speed up the process.

Hype cycles

Bite code! • 10520 implied HN points • 24 Jun 23
🕹 Technology Programming
  1. XML was once believed to be the future, but turned out to create technical debt instead.
  2. Following every hype blindly in technology can lead to failed projects and waste of money.
  3. Using the right tool for the right job is crucial in software development, avoiding unnecessary complexity and costs.

AI #92: Behind the Curve

Don't Worry About the Vase • 2777 implied HN points • 28 Nov 24
🕹 Technology Programming
  1. AI language models are improving in utility, specifically for tasks like coding, but they still have some limitations such as being slow or clunky.
  2. Public perception of AI-generated poetry shows that people often prefer it over human-created poetry, indicating a shift in how we view creativity and value in writing.
  3. Conferences and role-playing exercises around AI emphasize the complexities and potential outcomes of AI alignment, highlighting that future AI developments bring both hopeful and concerning possibilities.

LangChain Based Plan & Execute AI Agent With GPT-4o-mini

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 99 implied HN points • 26 Jul 24
🕹 Technology Programming
  1. The Plan-and-Solve method helps break tasks into smaller steps before executing them. This makes it easier to handle complex jobs.
  2. Chain-of-Thought prompting can sometimes fail due to calculation errors and misunderstandings, but newer methods like Plan-and-Solve are designed to fix these issues.
  3. A LangChain program allows you to create an AI agent to help plan and execute tasks efficiently using the GPT-4o-mini model.

The Sequence Opinion #794: The Uncanny Valley of Intent: Why We Need Systems, Not Just Models

TheSequence • 70 implied HN points • 22 Jan 26
🕹 Technology Programming
  1. Natural language is expressive but ambiguous, and programming languages are precise but brittle, so neither is a good interface for interacting with probabilistic AI models.
  2. We already have powerful models (the raw weights), but we lack a middle-layer systems or cognitive-architecture that reliably directs those models into robust applications.
  3. The solution is a new substrate—called Artificial Programmable Intelligence (API)—that sits between talking and coding and lets developers express intent in a precise yet flexible way.

Slashing my ".bashrc" in half

Bite code! • 1834 implied HN points • 20 Feb 25
🕹 Technology Programming
  1. Using new tools like Atuin and Starship can make your terminal experience much simpler and faster. They help reduce the size of configuration files like .bashrc while still providing great features.
  2. The rise of Rust has led to better command-line tools that are efficient and user-friendly. These tools replace many old commands and plugins with minimal effort needed from users.
  3. It's okay to stop using some tools or plugins if they aren't effective for your needs. Keeping your setup clean and understandable is more important than having every possible feature.

Let's compile Python 1.0

Bite code! • 1957 implied HN points • 05 Feb 25
🕹 Technology Programming
  1. Python 1.0 was surprisingly advanced for its time, with features like high-level data structures and ways to handle processes and files. It showed a lot of capabilities despite being the first major version.
  2. Compiling Python 1.0 requires some old tools and a legacy environment, as modern systems might not support all the necessary components. Using containers can help recreate this older setup.
  3. Even in its early stage, Python had a live REPL and error handling, making it quite user-friendly. Developers were able to perform a variety of tasks easily, which made Python appealing compared to other programming languages at the time.

What's up Python? A new Windows installer, ruff will type check, Pypi quarantines...

Bite code! • 1957 implied HN points • 01 Feb 25
🕹 Technology Programming
  1. PEP 773 is proposing a new way to install Python on Windows. It aims to simplify the installation process by using one tool for all versions and making it easier for users to manage them.
  2. Ruff, a popular linter, is getting a type checking feature added soon. This change will help improve Python's type checking and make it more user-friendly.
  3. Pypi has introduced a quarantining system for potentially harmful projects. This will block access to projects suspected of containing malware without completely removing them, allowing for better security.

A Tool To Automatically Detect Memory Leaks

Jacob’s Tech Tavern • 1749 implied HN points • 24 Feb 25
🕹 Technology Programming
  1. Memory leaks can cause unexpected bugs in apps, like weird behavior or actions happening twice. It's important to find and fix them to improve user experience.
  2. There's a way to automatically detect memory leaks in apps with only about 30 lines of code. This saves time and helps avoid frustrating users.
  3. While some may enjoy the challenge of finding leaks manually, using automated tools can prevent a lot of headaches and keep product managers happier.

Advanced Swift Concurrency

Jacob’s Tech Tavern • 2624 implied HN points • 12 Nov 24
🕹 Technology Programming
  1. Swift Concurrency is a modern way to handle tasks in Swift, making it easier and more powerful compared to earlier methods like GCD. It's designed for simplicity and efficiency.
  2. Important concepts in Swift Concurrency include Task properties like priority, cancellation, and timeout settings. Understanding these helps developers manage their applications better.
  3. Using Task effectively allows developers to create more responsive and dynamic apps. It’s great to explore real-life examples to grasp how to implement these advanced features.

Six Game Devs Speak to Computer Games Mag (1984)

Computer Ads from the Past • 768 implied HN points • 10 Jul 25
🕹 Technology Programming
  1. Many game creators started programming at a young age and learned by experimenting on their own computers. They believe that hands-on experience is the best way to learn.
  2. Creating a successful game often requires a mix of good ideas and playability. Game designers know that if a game is fun and engaging, people will want to play it.
  3. The game development journey can be both enjoyable and challenging. Many developers find satisfaction in creating games that others love to play, making it a rewarding career.

Working with OLEDs: SSD1353 & SSD1333

lcamtuf’s thing • 1836 implied HN points • 30 Jan 25
🕹 Technology Programming
  1. OLED displays are generally better for microcontroller projects than traditional LCDs. They are easier to use and deliver better performance and visuals.
  2. For projects with limited RAM or CPU, smaller OLED displays like the SSD1353 and SSD1333 can be effective. They are simple to set up with basic connections.
  3. Setting up these OLED displays involves a few key commands and configurations, making it manageable even for beginners. Once connected, getting them to display graphics is straightforward.

Solving The SwiftUI Interview

Jacob’s Tech Tavern • 2186 implied HN points • 10 Dec 24
🕹 Technology Programming
  1. Understanding SwiftUI is crucial for coding interviews, especially for positions focused on iOS development. It helps you stand out as a candidate.
  2. Practicing Swift Concurrency will give you an edge in solving problems more efficiently during interviews. It's an important skill that employers value.
  3. Interviews don't have to be stressful or frustrating. Using structured approaches can make the process smoother and more enjoyable for both candidates and interviewers.

Bazel and action (non-) determinism

Blog System/5 • 661 implied HN points • 21 Jul 25
🕹 Technology Programming
  1. Bazel builds need to be deterministic to avoid issues. If builds aren't consistent, they can fail unexpectedly, making it hard to trust the system.
  2. Non-determinism in builds can come from various sources like timestamps, random data, or changes in environment. It's important to identify and manage these to ensure reliable builds.
  3. To prevent non-determinism, use controlled environments and keep settings consistent across machines. This includes managing toolchains and avoiding network access that could introduce variability.

Under the microscope: Ford Racing 3 (PlayStation 2, Xbox)

Rings of Saturn • 72 implied HN points • 09 Jan 26
🕹 Technology Programming
  1. The commonly posted cheat codes for Ford Racing 3 are wrong, but there is a working unlock-all code: hold Select at the main menu and enter Up, Down, Left, Right, Left, Down, Up, Right, Down, Up to unlock all cars, competitions, and race types.
  2. Static analysis with Ghidra (using the Emotion Engine plugin) found the game's cheat tracker and showed it watches a 10-button sequence only while Select is held, triggering the unlock when the counter reaches ten.
  3. There is a second intended cheat (Down x10) that is present but points to a null function so it does nothing, and the Nintendo DS port doesn’t appear to include any cheats.

LangGraph Agents By LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Aug 24
🕹 Technology Programming
  1. Graph-based representations are becoming popular in AI, making it easier to visualize application flows and manage data relationships. This helps in understanding complex connections between data points.
  2. There are two ways to create graph representations: one is using code to create a visual flow, and the other is using a graphical user interface (GUI) to build the flow directly. This dual approach caters to different needs and levels of user expertise.
  3. Graph data structures allow for both firm control over applications and the flexibility needed for agent-based systems. This is useful for tasks where interactions and decisions must adapt based on inputs or user approvals.

UV tricks

Bite code! • 1957 implied HN points • 15 Dec 24
🕹 Technology Programming
  1. Using 'uv run' lets you run commands in a temporary environment without cluttering your main setup. This makes it easy to use big tools like Jupyter without installing them every time.
  2. The 'uvx' command works like 'npx', letting you test and run Python utilities quickly. It handles dependencies nicely, so you can focus on your tasks without worrying about setup.
  3. Creating scripts with 'uv init' helps you get started fast. It sets up everything you need, including project files and dependencies, making it easier to organize your Python projects.