The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics
Rings of Saturn 87 implied HN points 16 Jan 26
  1. Reverse engineering found the game records button presses into a hex "accumulator" and uses specific button sequences to unlock secret teams; the All Teams code listed on cheat sites also works on the US PlayStation version.
  2. There’s a "Lewd lineup" Easter egg that appears when you unlock Secret/England 1966 vs Europe/Rep of Ireland and enter a second button code — it replaces the pre-match player lineup with an explicit (NSFW) image; that effect is absent in the PAL PlayStation release but does appear in the PC port.
  3. A separate multi-part cheat triggers a voice saying "Oh, yeah!" and seems intended to enable extra sound effects, but the audio never plays during matches because the referenced sound file is missing; these findings came from inspecting memory and decompiling the game with tools like RALibretro and Ghidra.
System Design Classroom 419 implied HN points 04 May 24
  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.
Bite code! 856 implied HN points 01 Aug 25
  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.
Software Design: Tidy First? 729 implied HN points 14 Aug 25
  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.
Jacob’s Tech Tavern 2405 implied HN points 21 Jan 25
  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.
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benn.substack 997 implied HN points 27 Jun 25
  1. The role of software engineers is changing as AI improves, shifting from coding to managing and overseeing AI tasks. This means that skills like project management and having good taste are becoming more important.
  2. Companies can succeed through clever marketing and creating buzz rather than just building the best product. Sometimes, getting awareness before having a good product is the smart move in tech.
  3. In today's world, being a celebrity or influencer can drive success in technology, similar to the art world. People care about the creators more than the specific products, so having a strong personal brand can be very valuable.
Jacob’s Tech Tavern 2624 implied HN points 24 Dec 24
  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.
Don't Worry About the Vase 2598 implied HN points 26 Dec 24
  1. The new AI model, o3, is expected to improve performance significantly over previous models and is undergoing safety testing. We need to see real-world results to know how useful it truly is.
  2. DeepSeek v3, developed for a low cost, shows promise as an efficient AI model. Its performance could shift how AI models are built and deployed, depending on user feedback.
  3. Many users are realizing that using multiple AI tools together can produce better results, suggesting a trend of combining various technologies to meet different needs effectively.
Faster, Please! 822 implied HN points 30 Jul 25
  1. Zuckerberg believes in a future where artificial intelligence helps people instead of taking over their jobs. He sees AI as a tool that can enhance human creativity and growth.
  2. He envisions these AI systems being very powerful, capable of improving themselves over time. This means we could see big changes in how we use technology to navigate our lives.
  3. Zuckerberg wants to promote a version of AI that empowers individuals. His goal is to avoid centralized systems that replace workers, focusing instead on using AI to help people achieve their personal goals.
The Product Channel By Sid Saladi 30 implied HN points 17 Feb 26
  1. Claude Cowork is a desktop agent that works directly with your local files and autonomously executes multi-step tasks, so you delegate work instead of just getting advice.
  2. Use it for big, repetitive, or file-heavy jobs—like processing dozens of documents, reorganizing folders, or combining local files with web research—but not for quick brainstorming or sensitive personal data.
  3. You configure it with folder-specific instructions, plugins, and connectors to external tools, but it requires a paid Claude plan and careful permission choices to avoid accidental deletions.
One Useful Thing 2229 implied HN points 26 Jan 25
  1. When choosing an AI, consider using a paid version for better features. Claude, Gemini, and ChatGPT are the top choices right now.
  2. New AI advances include live interaction and reasoning capabilities. This helps AIs understand and respond more naturally, making them feel more human.
  3. Privacy is now better handled by major AI models, and you can customize them for your specific needs. Explore different AIs to find one that fits your style.
Frankly Speaking 152 implied HN points 10 Dec 25
  1. Security budgets are changing, focusing more on hiring skilled people rather than just buying tools. This shift means companies want to solve problems with real expertise instead of relying heavily on tech alone.
  2. AI is expected to breathe new life into older security areas that haven't kept up with changes in technology. By understanding context better, AI can help improve outdated solutions in data and application security.
  3. The role of security operations centers (SOCs) is likely to change significantly. Companies may reconsider the need for large SOCs and look for more efficient ways to manage security functions, especially using AI.
atomic14 692 implied HN points 12 Aug 25
  1. The LSM6DS3 sensor combines both accelerometer and gyroscope functions to measure motion and orientation. It's great for detecting movement but can have accuracy issues based on its environment.
  2. Using fusion mode can help to reduce drift over time by combining data from both sensors, allowing for more stable readings. This means your measurements can be more reliable during movement.
  3. The project is open source, meaning you can easily access and modify the code for your own use. You can load 3D models of your PCBs and see them in real time, which adds a fun interactive element to the testing process.
benn.substack 1048 implied HN points 06 Jun 25
  1. Data tools are getting more advanced, but many people still struggle with knowing how to use them effectively. This means that having the right tools isn't enough if users lack direction.
  2. The industry is shifting focus from traditional analytics towards building AI systems and infrastructure. Companies are now adapting their technologies to support AI applications instead of just analyzing data.
  3. Self-serve BI tools aren't being used as intended because people often don't know what questions to ask. Providing clearer direction and goals might help users make better use of available data.
One Useful Thing 2047 implied HN points 03 Feb 25
  1. New AI Reasoners can think better and solve tougher problems by producing thinking steps before answering. This makes them more effective than earlier chatbots.
  2. AI agents are being developed to autonomously pursue goals, but they currently face limitations when tackling complex tasks. They show promise with narrow, task-specific applications.
  3. OpenAI's Deep Research represents how specialized AI can work like a human researcher by engaging deeply with academic topics, paving the way for significant advancements in research efficiency.
QUALITY BOSS 139 implied HN points 09 Jul 24
  1. Testing too late can cause big delays in getting software to users. If QA is behind, it creates confusion and slows down the whole process.
  2. Good communication between development and QA teams is really important. Working in separate sprints can lead to misunderstandings and more difficult bug fixes.
  3. It's essential to define when a task is 'done' to include testing. If something isn't tested, it shouldn't be considered complete, ensuring that quality stays high.
The AI Frontier 459 implied HN points 11 Apr 24
  1. You can't really set yourself apart with just AI models because they're becoming similar across different companies. What matters more is the unique data you use to feed those models.
  2. Even if your prompts seem special, they won't give you a long-term advantage. Competitors can quickly figure out how to improve their prompts, making them less valuable for differentiation.
  3. To succeed in building AI applications, focus on understanding and using your customers' data effectively. Good data engineering can really make a difference in how well your application performs.
davidj.substack 83 implied HN points 09 Jan 26
  1. As code generation gets cheap and easy, people will build way more software than before and the line between writing and using software will blur.
  2. Many traditional application developer jobs may disappear as non-specialists who can orchestrate agents — "vibe engineers" — handle the long tail of one-off tools and automations.
  3. User-built software sidesteps much enterprise overhead (scaling, security, support), and with agents that remember and iterate, single-use scripts become cheap, reusable solutions rather than full products.
Vigilainte Newsletter 19 implied HN points 09 Sep 24
  1. Popular travel sites have serious security problems that could put users at risk. It's important for them to fix these issues soon.
  2. Planned Parenthood confirmed a cyberattack, and a ransomware group claimed they did it. This shows how vulnerable even established organizations can be.
  3. CISA has released a warning about RansomHub ransomware and is urging people to be aware of it. Staying informed about these threats is essential for everyone.
Don't Worry About the Vase 2464 implied HN points 12 Dec 24
  1. AI technology is rapidly improving, with many advancements happening from various companies like OpenAI and Google. There's a lot of stuff being developed that allows for more complex tasks to be handled efficiently.
  2. People are starting to think more seriously about the potential risks of advanced AI, including concerns related to AI being used in defense projects. This brings up questions about ethics and the responsibilities of those creating the technology.
  3. AI tools are being integrated into everyday tasks, making things easier for users. People are finding practical uses for AI in their lives, like getting help with writing letters or reading books, making AI more useful and accessible.
AI Supremacy 825 implied HN points 29 Jan 24
  1. More software engineers are turning to Substack for professional education and insights in technology
  2. Top engineering newsletters on Substack provide valuable content for software engineers and tech workers
  3. Subscribing to engineering newsletters can help professionals stay informed, grow, and stand out in the industry
TheSequence 70 implied HN points 22 Jan 26
  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.
Bite code! 1834 implied HN points 20 Feb 25
  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.
Bite code! 1957 implied HN points 05 Feb 25
  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.
Gradient Ascendant 16 implied HN points 23 Feb 26
  1. OpenClaw runs an always-on AI agent with installable "skills" that you can talk to over Slack or Telegram, and putting it on a Raspberry Pi makes the agent cheap, portable, and able to write and deploy software for you.
  2. Getting a Raspberry Pi 5 running headlessly is fiddly: you must create a user with an encrypted password on the SD card, enable SSH, and plug the Pi into Ethernet to set the Wi‑Fi country before wireless will work.
  3. These agents can act autonomously and use real credentials to install, commit, and deploy code, so you need separate accounts, limited permissions, and careful attention to security and prompt‑injection risks.
Don't Worry About the Vase 2374 implied HN points 17 Dec 24
  1. Google's Gemini Flash 2.0 is faster and smarter than previous versions, making it a strong tool for those who want quick assistance and information.
  2. Deep Research is a new feature where users can get detailed reports based on multiple websites; it's useful but still needs improvement in accuracy and relevance.
  3. Projects like Astra and Mariner are experimental tools that aim to enhance user experience by providing real-time assistance and better interaction through voice and web browsing.
Astral Codex Ten 1170 implied HN points 19 May 25
  1. There are meetups happening this week in Oxford, Shanghai, and Austin where people can connect and share ideas.
  2. A few fellowships are available for those interested in AI safety and reasoning, with opportunities to work and collaborate in the Bay Area.
  3. Grants are being offered for projects that explore how AI can support open inquiry, encouraging creative and innovative approaches.
Software Design: Tidy First? 994 implied HN points 06 Jun 25
  1. When building complex software, it's crucial to manage complexity by tackling one piece at a time. Trying to do everything at once can lead to confusion.
  2. Using clear outcomes and defined tests can help guide the development process and keep it on track. This way, you can focus on specific tasks without adding unnecessary requirements.
  3. Autonomous coding tools can be useful, but they work best on tasks that are straightforward. If a task is too complicated, it might overwhelm the tool and cause more problems.
Bite code! 1957 implied HN points 01 Feb 25
  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.
Jacob’s Tech Tavern 1749 implied HN points 24 Feb 25
  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.
Jacob’s Tech Tavern 2624 implied HN points 12 Nov 24
  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.
Dev Interrupted 70 implied HN points 13 Jan 26
  1. The "Ralph" pattern runs a simple loop that feeds a model's own outputs back into it until it produces a correct result, making persistent retries more important than a single perfect model.
  2. Gas Town is an orchestration approach that treats work as tiny, handoffable tasks executed by many ephemeral agents, creating an assembly line where coordination is the main bottleneck.
  3. AI scraping documentation can destroy traffic-driven revenue for open source projects, causing layoffs and a sustainability crisis, so supporting the open source you depend on is increasingly crucial.
Abstraction 24 implied HN points 16 Feb 26
  1. Being near people who already understand and topic (high epistemic density) makes short, frequent conversations possible, and those conversations turn into real progress and friendships.
  2. Removing coordination friction with simple tools (like an easy coffee scheduler) makes casual local meetings happen more often, and that consistency helps relationships form.
  3. AI has compressed the time to build small apps, so problems that once felt too small now merit quick, imperfect projects you can ship in hours or days.
Computer Ads from the Past 768 implied HN points 10 Jul 25
  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.
Blog System/5 2150 implied HN points 28 Dec 24
  1. NetBSD's build system is powerful and flexible, allowing users to build the operating system from scratch on any supported hardware without needing root access. This makes it useful for developers and advanced users.
  2. The build process is user-friendly due to the `build.sh` script, which simplifies complex commands into easy-to-understand goals. You can easily compile and create disk images with just a few commands.
  3. While the build system has many strengths, it also has inefficiencies, especially with incremental builds. Improvements could make it faster and less resource-intensive, which is a consideration for future development.
Reboot 29 implied HN points 05 Feb 26
  1. Kernel issue 6, themed “FEED,” is open for pitches — nonfiction due Feb 20 and creative submissions due Feb 28.
  2. They want sharp, specific work by and for technologists that explores feeding in many senses: data and news feeds, what people and machines consume, supply chains, food cultures, and feedback loops.
  3. All contributions are paid (rates increased), there are stipended roles for editors and illustrators, and they expect original, high-quality pieces rather than tired clichés or low-effort AI work.
Rings of Saturn 43 implied HN points 30 Jan 26
  1. Hidden cheat sequences exist in all three console versions and can unlock campaigns and extras when entered on the menu screens.
  2. Each port implements cheats differently: the GameCube uses a Konami-style code, the PS2 uses an R1/L1/Triangle/X sequence, and the Xbox has a more advanced, togglable cheat manager that enables invulnerability, infinite ammo/turbo, frame modes, and a Mega Cheat.
  3. Emulator-based debugging and reverse engineering (memory breakpoints, Ghidra with platform plugins) uncovered the input handlers, memory addresses, and static button arrays that map to those cheat codes.