The hottest Programming Substack posts right now

And their main takeaways
Category
Top Technology Topics

Can AI Speed up your Code?

Daniel’s Substack • 3 HN points • 03 Sep 24
🕹 Technology Programming
  1. AI can write a lot of code quickly, but it often makes mistakes. So, it's not ready to fully replace human programmers yet.
  2. Converting Python code to C++ can make it run much faster, especially for tasks that involve heavy string processing.
  3. While AI can assist in code conversion, current tools have limitations and sometimes struggle with complex functions.

Amber, Babylon, sun.misc.Unsafe and the rest: Java's plans for 2024 - JVM Weekly vol. 69

JVM Weekly • 98 implied HN points • 25 Jan 24
🕹 Technology Programming
  1. Java has ambitious plans for 2024 with projects like Amber, Babylon, and Valhalla focused on improving performance, memory efficiency, and concurrency.
  2. New JEPs in 2024 include proposals to deprecate memory access methods in sun.misc.Unsafe and enhancements for pattern matching for primitive types.
  3. Jakarta EE 11 now offers support for JDK 17 alongside JDK 21 to ease migration and accommodate user preferences for Java versions.

What I Learned This Week #1

Eventually Consistent • 39 implied HN points • 06 May 24
🕹 Technology Programming
  1. ScyllaDB introduces a shard per core design, maximizing parallelism by assigning a separate shard to each core.
  2. FoundationDB bridges SQL and NoSQL, offering ACID transactions with schema flexibility and performance.
  3. Compilers like Clang and language servers like Clangd have separate purposes; language servers follow the Language Server Protocol for portability.

Explore Your Modeling Mindset With A Quiz

Mindful Modeler • 179 implied HN points • 20 Jun 23
🕹 Technology Programming
  1. Modeling assumptions affect how the model can be used. For instance, causal considerations lead to causal claims.
  2. Revisiting and understanding our modeling assumptions can help us tackle problems more effectively, beyond our usual mindset.
  3. Creating simple static websites can be made easier with tools like GPT-4, especially if you have some understanding of HTML, CSS, and JavaScript.

Joe's Nerdy Rants #5

Joe Reis • 176 implied HN points • 17 Jun 23
🕹 Technology Programming
  1. Data professionals interpret the concept of 'model' in various ways, leading to confusion and inconsistency in the field.
  2. Establishing a shared understanding through high-level data modeling can promote consistent and reliable models in organizations.
  3. The use of AI tools in programming has become widespread, indicating a shift in the nature of programming but emphasizing the importance of understanding and verifying AI-generated code.
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This is valid Python syntax

Bite code! • 1100 implied HN points • 10 Jun 23
🕹 Technology Programming
  1. Python allows underscores in numeric literals for better readability and formatting of numbers
  2. Unpacking in Python is versatile, allowing assignment to slices and nested structures
  3. Using the splat operator in Python, like with lambdas and unpacking arguments, can make code more concise and powerful

FlowMind Is An Automatic Workflow Generator

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 25 Jun 24
🕹 Technology Programming
  1. FlowMind is a new tool that helps create automatic workflows using advanced AI. It takes user requests and generates code to complete tasks quickly.
  2. The system uses APIs to gather information and provides real-time feedback, allowing users to adjust the workflows as needed. This makes the process more interactive.
  3. FlowMind aims to improve the reliability of AI by reducing errors and making sure there is no direct connection to sensitive data. It focuses on keeping user data safe while handling requests.

How Researchers found Gods Number[Technique Tuesdays]

Technology Made Simple • 139 implied HN points • 22 Nov 23
🔬 Science Programming
  1. God's Algorithm aims for the fewest moves possible in combinatorial games like Rubik's Cube.
  2. Researchers found God's Number for Rubik's Cube using techniques like partitioning, symmetry, and dropping optimality.
  3. Key strategies used were dividing the problem into smaller parts, leveraging symmetry to reduce work, and focusing on finding solutions within 20 moves instead of the best possible solution.

Quick Survey on RISC-V Development

Fprox’s Substack • 83 implied HN points • 19 Jul 25
🕹 Technology Programming
  1. The author is curious about how people develop using RISC-V tools and hardware. They want to see what tools are commonly used.
  2. The author shares their experience using specific tools like clang and GCC for RISC-V development. They find both useful for different tasks.
  3. A survey is included for readers to share their own RISC-V development tools and experiences. The author encourages sharing the survey with others.

Literate Testing

Rethinking Software • 99 implied HN points • 14 Jun 25
🕹 Technology Programming
  1. Literate programming is great for keeping your code and documentation together. It helps you write tests in a clear and organized way without needing extra frameworks.
  2. With literate programming, you can easily mock functions and test them directly, even in languages like C that are usually tricky to test. This makes the testing process simpler and more enjoyable.
  3. Placing tests right next to your code helps you keep everything organized and makes writing tests feel less like a chore. You start to see tests as part of your coding process rather than an extra step.

Understanding Software Idempotency [Math Mondays]

Technology Made Simple • 119 implied HN points • 11 Dec 23
🕹 Technology Programming
  1. Idempotency ensures the same output regardless of how many times an operation is executed, providing data consistency and preventing duplicate operations.
  2. Idempotency is crucial for resilience, scalability, performance, simplicity, and provability in software systems.
  3. Implementing idempotency involves using unique identifiers, versioning, transaction management, and leveraging HTTP methods, offering benefits like better error handling and faster response times.

Under the microscope: Casper (Saturn, PlayStation, 3DO)

Rings of Saturn • 72 implied HN points • 05 Aug 25
🕹 Technology Programming
  1. The game Casper has cheat codes that let you fly and manipulate things easily. You can use different button combinations on the PlayStation and Saturn versions to gain special powers.
  2. In the PlayStation version, you can access an invisible menu while the game is paused. This menu allows you to change music, defeat enemies instantly, or boost your health and score.
  3. The 3DO version of Casper is different because it has a mini shooting game as an Easter egg but lacks the cheat menu features of the other versions.

English is NOT a Programming Language 🤦

Sector 6 | The Newsletter of AIM • 79 implied HN points • 07 Feb 24
🕹 Technology Programming
  1. English has too many ambiguities to be a programming language. Programming needs precise rules, and English doesn't always follow them.
  2. Douglas Crockford, the creator of JSON, is worried about pushing English as a coding language. He believes that code must be perfect, which English is not.
  3. Using natural language through AI for programming might lead to confusion. Clarity and accuracy are crucial for writing successful code.

DoRA is The New LoRA!

Aziz et al. Paper Summaries • 59 implied HN points • 07 Apr 24
🕹 Technology Programming
  1. LoRA helps fine-tune large language models without changing all their parameters. It uses two small matrices, which keeps the performance quick during use.
  2. LoRA's updates to weights can miss valuable details you'd get from full fine-tuning, because it treats magnitude and direction together.
  3. DoRA improves on LoRA by separating magnitude and direction, leading to better performance on reasoning tasks and other applications. It works best with smaller settings, making it efficient.

Tidy Together Chapter: Long-Running Design Changes

Software Design: Tidy First? • 287 implied HN points • 30 Oct 24
🕹 Technology Programming
  1. Mixing design with features is important. It's good to experiment with designs while keeping an eye on the overall features.
  2. Timing matters when tidying up your work. It's helpful to tidy design just before implementation to keep things organized.
  3. When working on design changes, you have to decide when to start, continue, or stop. It's about finding the right balance in your workflow.

AI applications are more than an LLM

The AI Frontier • 19 implied HN points • 20 Jun 24
🕹 Technology Programming
  1. AI applications are more than just using a big model; they need careful design and planning to be effective. It's like building a nice piece of furniture versus just putting some wood together.
  2. Quality comes with a cost, and building great AI solutions takes more time and resources. Cheaper options might save money now, but they often lead to poorer results.
  3. Not all AI applications perform the same, even if they use the same tools. Good performance comes from thoughtful engineering and working with the data properly.

Minds Aren't Programs. Neither Are AIs.

Outlandish Claims • 19 implied HN points • 20 Jun 24
🕹 Technology Programming
  1. Most artificial intelligences were computer programs executed by code, fundamentally different from human minds.
  2. Artificial intelligence 'trainees', like GPT, aren't classified as programs or minds but act as learners mimicking human expertise.
  3. The process of creating AI 'trainees' involves converting inputs/outputs into numbers, forming formulas through trial and error, and testing for accuracy.

GM Shaders: MRT

GM Shaders Mini Tuts • 98 implied HN points • 06 Jan 24
🕹 Technology Programming
  1. By using gl_FragData[0-3], you can output 4 separate fragment colors to up to 4 surfaces with one draw call
  2. Multiple Render Targets have various applications like deferred rendering, unique object IDs, and depth maps in 2D or 3D contexts
  3. Consider limitations with MRTs, like compatibility with platforms, VRAM usage, and controlling fragment outputs independently

OpenAI Vision

Tribal Knowledge • 19 implied HN points • 20 Jun 24
🕹 Technology Programming
  1. Working with image processing technology can involve complex math but can also lead to practical and interesting projects like a Magic: The Gathering card detector.
  2. Reflecting on past coding projects can show growth in understanding software systems and the evolution of one's skills over time.
  3. Advancements in AI, like OpenAI's Vision API, have made tasks like image processing more accessible to engineers without the need for in-depth domain knowledge, offering a quicker way to experiment and validate ideas.

Welcome to 2024 🎄

Bytewax • 98 implied HN points • 04 Jan 24
🕹 Technology Programming
  1. Learn about Redis-driven Dataflow for Clickstream Aggregation with Bytewax
  2. Discover the top Python libraries of 2023, including Bytewax
  3. Exciting new features in version 0.18 of Bytewax are coming soon

DSA For The Rest Of Us - Part 1

Data Engineering Central • 157 implied HN points • 13 Mar 23
🕹 Technology Programming
  1. Understanding Data Structures and Algorithms is important for becoming a better engineer, even if you may not use them daily.
  2. Linked Lists are a linear data structure where elements are not stored contiguously in memory but are linked using pointers.
  3. Creating a simple Linked List in Rust involves defining nodes with values and pointers to other nodes, creating a LinkedList to hold these nodes, and then linking them to form a chain.

GM Shaders Mini: Imagination

GM Shaders Mini Tuts • 157 implied HN points • 02 Sep 23
🕹 Technology Programming
  1. When working with shaders, think in terms of vector fields to direct the flow and create gradients.
  2. Consider the acceptable input domains and the output ranges of your functions to prevent errors and unexpected results.
  3. Utilize periodic functions for repetition, sine and cosine for waves and rotations, dot product as a ruler, and exponentiation for adjusting brightness levels.

Get the most out of Python dicts

Bite code! • 978 implied HN points • 13 Jun 23
🕹 Technology Programming
  1. Merge dictionaries with methods like dict.updates(), **, |, and collections.ChainMap
  2. Deal with missing values in dictionaries using methods like dict.get(), dict.setdefault(), and collections.defaultdict
  3. Extract multiple values at once using tools like operator.itemgetter and match/case

Testing a book's code

Mostly Python • 628 implied HN points • 11 Jan 24
🕹 Technology Programming
  1. Maintaining a technical book involves continuous updates to ensure code relevancy.
  2. Automated testing is crucial for keeping book code up to date and relevant.
  3. Testing a book's code involves challenges like user input, random values, and cross-OS issues.

Links for 2024-01-31

Axis of Ordinary • 78 implied HN points • 31 Jan 24
🕹 Technology Programming
  1. SliceGPT offers a way to reduce model parameters while maintaining performance.
  2. Apple's Rephrasing the Web focuses on efficient language modeling.
  3. ADEPT's Fuyu-Heavy model outperforms Gemini Pro in certain areas.

The last generation of programmers

Brick by Brick • 63 implied HN points • 04 Aug 25
🕹 Technology Programming
  1. AI is changing programming in a big way. Soon, machines might do most of the coding, leaving fewer jobs for human programmers.
  2. Just like how cars created new jobs when horses disappeared, AI will lead to new roles focused on guiding and managing these technologies.
  3. In the future, software creation might be easier for everyone. People will share ideas, and AI will turn those ideas into working software quickly.

GM Shaders Mini: Phi

GM Shaders Mini Tuts • 117 implied HN points • 25 Nov 23
🕹 Technology Programming
  1. Phi is a mathematical constant used for distributions and design.
  2. Phi is considered the "most irrational number" and has various practical uses.
  3. Understanding Phi can optimize shader computations and distribution techniques.

The Libertarian Coder

Rethinking Software • 249 implied HN points • 10 Nov 24
🕹 Technology Programming
  1. Working independently can be very rewarding, especially in coding. Some people thrive when they have control over their own projects and can focus deeply.
  2. There are different styles of collaboration in coding. Some prefer to share work with many people, while others like to work alone. Both ways can be valid and effective, depending on the person's preference.
  3. When you feel stuck at work, it's often not just your fault. It shows there might not be enough teamwork or communication. Asking lots of questions can help everyone succeed together.

The Sequence Engineering #676: Hacking with Gemini CLI

TheSequence • 84 implied HN points • 02 Jul 25
🕹 Technology Programming
  1. Gemini CLI uses Google's powerful AI to improve command-line tasks. It makes using command-line tools easier and more efficient.
  2. The system logs its decisions and shows its thought process, which helps users understand what the AI is doing. This makes it trustworthy and easy to troubleshoot.
  3. With its flexible design, Gemini CLI allows for added features through plugins, creating a customizable experience tailored to users' needs.

The first generation of programming directors

Brick by Brick • 54 implied HN points • 18 Aug 25
🕹 Technology Programming
  1. Programming is changing from writing lots of code to directing and guiding AI tools. Instead of typing everything, future programmers will help manage what machines produce.
  2. Just like animation adapted to computers, programming will also evolve with new technology. This means that while the number of programmers might decrease, more companies will start creating software.
  3. AI could make creating software cheaper and easier, leading to more demand and new kinds of applications. Companies that couldn't afford custom programs before might start using them because of these advancements.

The Tech Buffet #16: Quickly Evaluate your RAG Without Manually Labeling Test Data

The Tech Buffet • 99 implied HN points • 18 Dec 23
🕹 Technology Programming
  1. You can automate the testing of Retrieval Augment Generation (RAG) systems without needing to label data yourself. This makes it faster and easier to evaluate their performance.
  2. Generating synthetic datasets with questions and answers allows you to test how well your RAG performs. This method helps you understand the effectiveness of your application and provides useful insights.
  3. Using various metrics is key to evaluating your RAG accurately. This way, you assess different aspects of performance, ensuring you get a well-rounded view of how your system is doing.

Tech Talks Weekly #13 🎉

Tech Talks Weekly • 39 implied HN points • 09 May 24
🕹 Technology Programming
  1. This week features many interesting talks from various tech conferences like Devoxx Greece and React Miami. You can find updates on programming languages and system design insights.
  2. There's a call to help improve the content by filling out a quick survey. Sharing feedback can enhance the experience for everyone involved.
  3. The newsletter highlights a selection of must-watch talks from recent events. It's a great way to stay informed about the latest trends and ideas in tech.

Extending the demo: Thunder Force V (Saturn)

Rings of Saturn • 58 implied HN points • 13 Aug 25
🕹 Technology Programming
  1. The demo of Thunder Force V has many unfinished elements like scrolling issues and missing bosses. It shows how the game changed before its final version.
  2. Modifying the demo allows players to access features like the options menu and course select, which were restricted in the original demo.
  3. Each stage in the demo differs significantly from the final game, with some being empty and lacking enemies while others have different graphics and weapon functionality.