The hottest Programming Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Tech Buffet 59 implied HN points 18 Oct 23
  1. Flowise is a no-code tool that helps you build and test applications using LLMs right from your web browser. It makes creating complex workflows easier by allowing you to choose and connect components visually.
  2. You can easily set up Flowise either from source code or using Docker. Once it's running, you can create ChatFlows, which are workflows for LLM applications, by simply dragging and dropping elements in the interface.
  3. Flowise is great for prototyping applications quickly, but it still has room for improvement, like better error handling and documentation. Overall, it's a handy tool for developers experimenting with language models.
Tech Talks Weekly 19 implied HN points 25 Apr 24
  1. This week features many new tech talks from popular conferences like Conf42 Golang 2024 and NDC London 2024. You can find insightful sessions about various programming topics.
  2. You can help improve future content by completing a short survey. Your feedback can make the newsletter even better.
  3. The newsletter also encourages sharing it with friends to build a community of tech talk enthusiasts. Spreading the word can help others join in on these great conversations.
Technology Made Simple 79 implied HN points 31 Jan 23
  1. Group theory in mathematics helps in understanding inheritance and polymorphism in Object-Oriented Programming.
  2. In OOP, inheritance allows classes to inherit properties, similar to how groups inherit properties from subgroups.
  3. Group theory provides a framework for designing efficient and modular systems by understanding class and object relationships.
Sunday Letters 59 implied HN points 08 Oct 23
  1. Prompt engineering is not a lasting software discipline; it may fade away as technology improves. It's a reaction to a lack of computing resources, trying to make every use of AI efficient.
  2. Using AI tools should be approached like programming: break tasks into smaller pieces to handle them better. This is more effective than creating complex prompts that are hard to manage.
  3. It's better to focus on making something work well before worrying about cost or optimization. Don't stress about minimizing resource use until the solution is working reliably.
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The Tech Buffet 59 implied HN points 06 Sep 23
  1. You can use LangChain to build a question-answering system that works with documents. It helps you fetch answers from documents effortlessly.
  2. The process involves loading a document, splitting it into manageable chunks, and then using these chunks to find answers. This way, you have context to support the answers generated.
  3. It's important to keep experimenting and refining your system for better answers. Check out more details in the LangChain documentation for tips and improvements.
AnyCable Broadcasts 59 implied HN points 08 Sep 23
  1. AnyCable now supports Server-Sent Events (SSE), allowing easy connection for updates without client libraries
  2. Consider the memory and server load implications when managing subscriptions and streams in Action Cable or AnyCable
  3. Creating multiple subscriptions at once can lead to server overload, especially during high traffic situations like server restarts
Technology Made Simple 59 implied HN points 22 Aug 23
  1. Randomness in software engineering introduces unpredictability and can be used for various reasons like generating different outputs and introducing randomness into systems.
  2. Careful consideration is needed when using randomness in software engineering to avoid security risks and unnecessary complexity.
  3. To test the randomness of a system, consider using Diehard tests, which are intuitive and effective in evaluating randomness.
Technology Made Simple 59 implied HN points 19 Apr 23
  1. The Rabin Karp algorithm is a string-searching technique that uses hashing to efficiently find patterns in texts.
  2. It is useful for tasks like detecting plagiarism, finding keywords, or searching for DNA sequences in large texts.
  3. The algorithm works by calculating hash values at each position of the text, making it faster than naive string-matching algorithms.
Rodrigo Kamada 58 implied HN points 22 Mar 23
  1. Create a serverless API using AWS Lambda and Node.js with TypeScript and Express.js.
  2. Learn to configure an account on AWS Lambda, create access keys, build a Node.js application with Express.js, and deploy it on AWS Lambda.
  3. Test the serverless API on AWS Lambda by sending requests to the created routes.
Arraybolt's Archives 58 implied HN points 09 Mar 23
  1. The author's journey with Linux started from a young age on Windows, then moved to testing different Linux distros like KXStudio and ChaletOS.
  2. Experimenting with different distros in virtual machines and on physical hardware led to the discovery and preference for Ubuntu-based distros like Kubuntu and Lubuntu.
  3. Eventually, the author transitioned to contributing to Ubuntu development, experiencing the joy of being part of a community and making a positive impact.
Deus In Machina 72 implied HN points 11 Jan 24
  1. The compilation process in C involves preprocessing, compilation to assembly, assembly into an object file, and linking for the final executable.
  2. Each step in the compilation process serves a critical role in converting high-level C code to machine-executable instructions.
  3. Understanding the compilation process helps programmers appreciate the intricate steps involved in turning source code into functioning programs.
Dan’s MEGA65 Digest 11 implied HN points 01 Feb 25
  1. Disassembling retro games like _Crossroads_ helps us understand how they work. Tools like Ghidra make it easier to translate complex machine code into more readable assembly language.
  2. The process of disassembly involves examining machine code and turning it into something we can understand. With tools, we can learn how programs manipulate memory and control hardware.
  3. Using Ghidra can reveal important insights into game design and programming techniques used in the past. It shows how similar concepts apply to modern programming on systems like the MEGA65.
Clarifying Concurrency 33 implied HN points 31 May 24
  1. Pittsburgh surprised many with its beauty and many bridges. The Pycon conference there was a great experience and will be held again next year.
  2. Concurrency is a complex topic, and many people underestimate its difficulties. The writer realized it's okay to focus on broader topics rather than an expert niche like concurrency.
  3. Writing for a general audience feels more impactful. There are other programming techniques that can improve productivity for everyone, which is more inspiring to share.
Brain Bytes 39 implied HN points 29 Nov 23
  1. Always prioritize the user in programming. User feedback is essential for creating successful products.
  2. Plan before you code. Having a clear plan and design prevents bugs and ensures your code aligns with your goals.
  3. Keep your code organized and clean to work efficiently. Avoid overcomplicating solutions and remember to follow best coding practices.
Deus In Machina 145 implied HN points 11 May 23
  1. Bitwise operators manipulate binary data without the need for math, making them powerful tools in programming.
  2. Understanding binary representation is crucial in computer programming, allowing for efficient manipulation of data.
  3. Bitwise operators like AND, OR, XOR, and shift operations are essential in tasks like setting specific bits, masking off bits, or shifting binary numbers.
jDeploy Newsletter 84 implied HN points 27 Feb 24
  1. jpackage is an official tool for bundling Java apps, dependent on platform tools, and useful for creating app bundles for Mac, Windows, or Linux with embedded Java runtime.
  2. jDeploy is an open source tool that can build and deploy app bundles for all platforms from any platform, offering a smaller app bundle size, auto updates, and deployment through GitHub or npm.
  3. Use jpackage for app store distributions, while jDeploy is great for easy deployment, auto-updates, and quick distribution of internal utilities or PoC apps.
Splattern 39 implied HN points 27 Nov 23
  1. ChatGPT can help you build a simple website quickly, even if you have little coding experience. You can get a lot done with just a few prompts.
  2. It's easy to ask ChatGPT to tweak and improve your code, making debugging simpler. You can keep refining your work until it fits your needs.
  3. While ChatGPT is great for generating code, it might struggle with complex math or writing tasks, but you can guide it to get better results.
Technology Made Simple 59 implied HN points 24 Feb 23
  1. The problem involves backtracking, recursion, and graph modeling to find unique combinations that sum to a target.
  2. Modeling the problem as a graph with states and transitions helps in traversal mechanics using DFS.
  3. Implementing a simple graph traversal algorithm, backtracking, and a global variable to track combinations can efficiently solve the problem.
The Beep 19 implied HN points 10 Mar 24
  1. You can run large language models, like Llama2, on your own computer using a tool called Ollama. This allows you to use powerful AI without needing super high-tech hardware.
  2. Setting up Ollama is simple. You just need to download it and run a couple of commands in your terminal to get started.
  3. Once it's running, you can interact with the model like you would with any chatbot. This means you can type prompts and get responses directly from your own machine.
jonstokes.com 195 implied HN points 21 Apr 23
  1. The rise of AI agents is introducing a new software paradigm that allows AI to make plans from text prompts.
  2. LLMs powered agents can generate detailed plans for achieving goals, revolutionizing the way tasks are accomplished.
  3. The agent paradigm offers a more cost-effective, yet higher-cost per run computation model compared to traditional software development, akin to the cloud computing model.
Gonzo ML 49 HN points 29 Feb 24
  1. The context size in modern LLMs keeps increasing significantly, from 4k to 200k tokens, leading to improved model capabilities.
  2. The ability of models to handle 1M tokens allows for new possibilities like analyzing legal documents or generating code from videos, enhancing productivity.
  3. As AI models advance, the nature of work for entry positions may change, challenging the need for juniors and suggesting a shift towards content validation tools.
🔮 Crafting Tech Teams 59 implied HN points 01 Jun 23
  1. Redis has evolved beyond just a cache and can be used for various purposes like PubSub notifiers, search DB, and event storage.
  2. Postgres, known as an SQL DB, can also be utilized as an event store, message queue, outbox, or document db, showcasing the versatility of technologies.
  3. It's essential to stay up to date with how technologies like Redis are changing over the years to make the most of their capabilities.