The hottest Programming Substack posts right now

And their main takeaways
Category
Top Technology Topics

My Top 15 OS Books: From Theory and Implementation to Systems Programming

Confessions of a Code Addict • 673 implied HN points • 18 Feb 25
🕹 Technology Software Programming Operating Systems Computer Science Development
  1. Understanding operating systems is really important for software engineers. It helps you know how your code runs and can make fixing problems easier.
  2. There are different types of books to learn about operating systems: theory books, implementation books, and systems programming books. Each type helps you at different stages of your programming journey.
  3. Some popular OS books, like 'Operating Systems: Three Easy Pieces', are easy to understand and cover key concepts without sticking to just one system. These resources are great for anyone wanting to learn about OS.

Podcast guest appearance

Minimal Modeling • 202 implied HN points • 23 Dec 24
🕹 Technology Software Development Database Design Data Management Programming
  1. The podcast discussed database design and Minimal Modeling for almost two hours. It shared valuable insights on how to create better database structures.
  2. The speaker is open to appearing on other podcasts and is willing to talk about topics like data documentation and software development processes.
  3. There's a recent podcast episode available, but it is in Russian, limiting its audience. If you need help with databases, the speaker is approachable.

Linux Context Switching Internals: Part 1 - Process State and Memory

Confessions of a Code Addict • 1106 implied HN points • 29 Dec 24
🕹 Technology Software Operating Systems Programming Computer Science System Architecture
  1. Context switching allows a computer to run multiple tasks by efficiently switching between different processes. It's important to understand it because it affects a system's performance.
  2. The Linux kernel uses specific structures, like 'task_struct' and 'mm_struct', to manage process states and memory. These structures help keep track of what each process is doing and how it uses memory.
  3. When a process runs out of CPU time or needs to wait, the kernel uses flags to decide when to switch to another process. This ensures that all processes get a chance to run, even if some are waiting for resources.

Intentions & Actions

Software Design: Tidy First? • 1082 implied HN points • 16 Dec 24
🕹 Technology Software Design User Interface Machine Learning Programming User Experience
  1. People often come to computers with intentions, like wanting to watch a show or add a stop to a trip. But the actions needed to achieve those intentions can be confusing and hard to remember.
  2. When the computer does what we want easily, we feel amazed and grateful. But this happens less often because of complicated menus and actions we have to figure out.
  3. Kids find it easier to use technology because they learn quickly from their friends and practice a lot. They navigate digital worlds more smoothly, while others often struggle with the basics.
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Background Work

Software Design: Tidy First? • 1568 implied HN points • 28 Oct 24
🕹 Technology Software Design Programming Engineering Data Analysis Artificial Intelligence
  1. Background work is doing extra research or tasks beyond what's necessary. It's a way to learn and grow your skills.
  2. Successful programmers often engage in background work, which helps them become more knowledgeable and credible.
  3. While background work can sometimes feel like extra effort, it usually pays off quickly and can save time in the long run.

Apache Kafka - Important Designs

VuTrinh. • 259 implied HN points • 13 Jul 24
🕹 Technology Data Engineering Software Design Systems Architecture Distributed Systems Programming
  1. Kafka uses the operating system's filesystem to store data, which helps it run faster by leveraging the page cache. This avoids the need to keep too much data in memory, making it simpler to manage.
  2. The way Kafka reads and writes data is done in a sequential order, which is more efficient than random access. This design improves performance, as accessing data in a sequence reduces delays.
  3. Kafka groups messages together before sending them, which helps reduce the number of requests made to the system. This batching process improves performance by allowing larger, more efficient data transfers.

Last week at The Lunduke Journal (Oct 20 - Nov 2, 2024)

The Lunduke Journal of Technology • 1148 implied HN points • 03 Nov 24
🕹 Technology Software Open Source Internet Security Programming
  1. There has been a lot of news recently about Linux and its relationship with Russia, especially regarding programming bans. This issue seems to be getting more complicated in the coming weeks.
  2. The Internet Archive is in the spotlight with some strange developments that are capturing attention. It's raising questions about how information is preserved online.
  3. RISC OS has made progress by adding modern features like WiFi and a web browser. It's nice to see tech advancements, even amid all the chaos in the software world.

Google Trends API alternative: Wikipedia Pageview Statistics

Franz likes to code • 39 implied HN points • 05 Sep 24
🕹 Technology Programming APIs Data Analysis Python Wikipedia
  1. If you're having trouble with the Google Trends Python package, you can switch to using Wikipedia's page view statistics instead. It's a reliable and official way to get data on search trends.
  2. Wikipedia provides a rich API that allows you to fetch daily or hourly view counts for specific articles. This can help analyze how topics gain interest over time.
  3. You can use a simple Python code to find the page views for any Wikipedia article, making it easy to replace Google Trends in your research and get the data you need.

Code Clinic | Orchestrating Transformers Agents 2.0 for Internet Search

Encyclopedia Autonomica • 19 implied HN points • 09 Oct 24
🕹 Technology AI Software Machine Learning Data science Programming
  1. Using Transformer Agents 2.0 is a step up from traditional methods. They can handle multi-step tasks better and have memory to store information as they work.
  2. Setting up and building a basic ReAct Agent is straightforward. You only need to install some packages and create the agent using selected models and tools.
  3. You can orchestrate multiple agents together for more complex tasks. By combining different agents, you can enhance their capabilities and improve the results of your searches or queries.

Tidy First Example

Software Design: Tidy First? • 463 implied HN points • 30 Jan 25
🕹 Technology Software Design Programming Development User Experience Agile Methodology
  1. It's important to make hard changes easier before tackling them. This means breaking down tough tasks into simpler steps.
  2. Many people want to make the easy changes they envision, but they often overlook the complexity involved.
  3. Always pay attention to examples in learning; they can provide valuable insights that you might miss if you skim over them.

The beautiful theory of TDD and the reality check of practice

Bite code! • 2568 implied HN points • 04 Feb 24
🕹 Technology Development Software Testing Programming Pragmatism Productivity
  1. TDD can make your code more flexible, reliable, and less error-prone by focusing on testing upfront.
  2. TDD may not work well for everyone, as it requires experience, ability to hold complex models in mind, and sustained focus.
  3. Not all projects are suited for TDD, and it's important to assess the cost and benefit of testing based on project needs and constraints.

Code “Smells”?

Software Design: Tidy First? • 2181 implied HN points • 03 Jul 23
🕹 Technology Programming Software Development
  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.

Monthly Python Data Engineering, August 2024

Monthly Python Data Engineering • 59 implied HN points • 19 Aug 24
🕹 Technology Software Data Engineering Open Source Programming Development
  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 Software Design Patterns System Design Programming Interfaces
  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.

Coming in Through the Back Door

Rethinking Software • 349 implied HN points • 24 Jan 25
🕹 Technology Open Source Software Development Freelancing Programming Innovation
  1. Working in traditional software jobs can feel unfulfilling because you mostly deal with old code and follow orders. Many developers wish for more creativity and control over their projects.
  2. Open source software (OSS) offers a way for developers to work on things they are passionate about without the pressure of market demands. It allows them to create freely and build things that interest them.
  3. Getting involved in OSS can provide personal satisfaction and potentially lead to financial opportunities later. It’s a great way to control your work and share it with the world.

Unexpected python traps for beginners

Bite code! • 1957 implied HN points • 19 Feb 24
🕹 Technology Programming Syntax Best Practices
  1. Python automatically concatenates strings written next to each other, making it easier to break long strings across multiple lines.
  2. In Python, be mindful of the differences between functions like sorted() and list.sort(), as they behave differently in terms of returning values.
  3. Tuples in Python are created using commas, with parentheses being optional for non-empty tuples, but crucial for tuples of one element to avoid confusion.

Deep Learning Frameworks

Gonzo ML • 252 implied HN points • 01 Nov 24
🕹 Technology AI Software Machine Learning Frameworks Programming
  1. Deep learning frameworks have made it easier for anyone to build and train neural networks. They simplify complex processes and allow researchers to focus on their ideas instead of technical details.
  2. Modern frameworks effectively utilize powerful hardware like GPUs, making training faster and more efficient. This means tasks that once took a lot of time can now be done much quicker.
  3. With advancements like dynamic computational graphs and automatic differentiation, frameworks have improved flexibility and reduced errors. This helps developers experiment with new ideas easily and reliably.

Take on the Kubernetes Resume Challenge

Cloud Irregular • 3104 implied HN points • 14 Feb 24
🕹 Technology Cloud Computing Programming Training Community
  1. The Cloud Resume Challenge community is launching a Kubernetes Challenge throughout March to help individuals build their Kubernetes skills by deploying a basic e-commerce website.
  2. The challenge focuses on learning the operations of a K8s cluster such as configuration, scaling, monitoring, and persistence, offering guidance to prevent going off track.
  3. Participants will work through the challenge together over 4 weeks in the CRC Discord server, with special incentives for those who complete it.

💥 Tech Talks Weekly #29

Tech Talks Weekly • 79 implied HN points • 30 Aug 24
🕹 Technology Conferences Programming Software Development Web Development AI/ML
  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.

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

Import AI • 1058 implied HN points • 08 Jan 24
🕹 Technology AI Robotics Programming AI Research Computing
  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 Software Development Machine Learning Programming Web Development Data science
  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.

Last week at The Lunduke Journal (Nov 24 - Nov 30, 2024)

The Lunduke Journal of Technology • 574 implied HN points • 01 Dec 24
🕹 Technology Software Programming Open Source Tech Policy Hardware
  1. The C++ Standards Group made headlines by banning a contributor just for using the word 'Question' in their work. It shows how strict and odd some technical communities can be.
  2. The Linux Code of Conduct Board also banned a developer for not apologizing enough, highlighting tensions in developer communities around behavior expectations.
  3. Microsoft has faced accusations from Google about using 'dark patterns' in their Edge browser, pointing to ongoing issues with user experience and ethical design in tech.

Spam in the firehose

Conspirador Norteño • 128 implied HN points • 06 Dec 24
🕹 Technology Social media Spam Detection Data Analysis Online Security Programming
  1. Monitoring the Bluesky firehose can help quickly spot fake accounts. By looking for repeated names and profiles, it's easier to identify spam activity.
  2. A large number of spam accounts often share similar biographies. One group had over a thousand accounts with variations of the same few phrases.
  3. Many spam accounts use stolen images as profile pictures. This makes them look less authentic and easier to identify as spam.

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 AI NLP Machine Learning Software Development 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.

Disillusioning the Magic of the fork System Call

Confessions of a Code Addict • 649 implied HN points • 26 Nov 24
🕹 Technology Programming Software Operating Systems Computer Science
  1. The fork system call creates a new process that is a copy of the parent process, but each can follow a different path after the call. This is why a program can behave differently depending on which process it is in.
  2. When the fork call is made, the operating system needs to return distinct values to both the parent and child processes. The kernel sets the return value for the child process to 0, while the parent gets the child’s process ID.
  3. System calls are handled in the kernel, which means understanding their low-level operations helps us see how programming languages like C manage processes, revealing the complexity hidden behind simple function calls.

Redis and Python: 20% of effort, 80% of effects

Bite code! • 1467 implied HN points • 03 Mar 24
🕹 Technology Python Database Programming Web Development
  1. Redis is a powerful companion for Python, used for caching, sharing states, and creating queues.
  2. Redis is easy to use and highly efficient, widely employed in the industry for tasks like caching and inter-process communication.
  3. With basic features like lists, hashes, and sets, Redis has vast utility in tasks such as caches, queues, and inter-process communication.

Under the microscope: Ecco the Dolphin — Defender of the Future

Rings of Saturn • 174 implied HN points • 07 Nov 24
🕹 Technology Gaming Software Programming Engineering
  1. There are special cheat codes in the game 'Ecco the Dolphin: Defender of the Future' that can be activated by naming your save file a certain way. These codes unlock features like immortality and all-level access.
  2. A reverse-engineering tool called Ghidra was used to find these codes and understand how they were hidden in the game. It shows how programming can uncover secret game mechanics.
  3. Some codes do different things, like showing the frame rate or unlocking a bonus game. One code is mysterious and doesn't seem to do anything at all, adding an element of fun discovery.

Refactoring: Narrow ↔ Widen Parameter

Software Design: Tidy First? • 530 implied HN points • 25 Nov 24
🕹 Technology Software Design Refactoring Development Programming
  1. Narrowing and widening parameters are important techniques in refactoring code. They help make the code more flexible and easier to understand.
  2. Refactoring can initially seem tricky, but it can also be enjoyable and rewarding. It's a good practice to keep improving your code.
  3. Getting feedback on your refactoring efforts is valuable. It helps you see what works and what can be improved.

LangGraph Agents By LangChain

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 19 Aug 24
🕹 Technology AI Data Software Programming Engineering
  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.

The very first interview about Linux with Linus Torvalds - Oct 28, 1992

The Lunduke Journal of Technology • 5170 implied HN points • 16 Apr 23
🕹 Technology Interview Linux Operating Systems Programming Open Source
  1. The first interview about Linux with Linus Torvalds was published in a small E-Mail newsletter in 1992.
  2. The newsletter was significant as it was the first written specifically for Linux and contained the first interview ever with Linus Torvalds about Linux.
  3. Linus Torvalds started working on Linux after taking a UNIX and C course at university, and the system evolved from a terminal emulator to a UNIX-like system.