The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics

API Forking for an Adaptive Development Process

computers suck • 78 implied HN points • 31 Jan 24
🕹 Technology Software
  1. Designing a flexible API to maintain data integrity is challenging under shifting client requirements.
  2. Using the Parallel Change pattern can help handle API forking for adaptive development processes.
  3. Maintaining parity in naming and types between different interfaces is crucial for easy remerging and migration.

The last generation of programmers

Brick by Brick • 63 implied HN points • 04 Aug 25
🕹 Technology Software
  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.

Developer Experience: Cracking The Code For Peak Productivity

Wisdom over Waves • 39 implied HN points • 20 Apr 24
🕹 Technology Software
  1. Achieving a flow state is crucial for peak productivity. Minimizing interruptions like emails, popups and delays helps maintain focus and enhance performance.
  2. Reducing cognitive load is essential. Providing clear domain knowledge and simplifying technical aspects contribute to better understanding and productivity.
  3. Establishing a fast feedback loop is key. Faster identification of issues, learning from failures, and making data-driven decisions lead to better performance and quality.

Trends in CIAM

ciamweekly • 250 implied HN points • 18 Nov 24
🕹 Technology Software
  1. There are many new startups in authentication since Auth0 was bought. This is because developers can easily build and use these tools themselves.
  2. Self-hosting is becoming popular again with modern solutions available. Some companies make it tough to download these options so users rely on their SaaS services instead.
  3. Many businesses are moving away from creating their own authentication systems. They see it as something best handled by specialized vendors, which helps them focus on their main goals.

Letter from November

Anima Mundi • 20 implied HN points • 18 Nov 25
🕹 Technology Software
  1. We need to accept that we can't always predict the future, but that shouldn't stop us from trying to create solutions. Even if our ideas might not work out, taking action is important.
  2. Building things is messy and uncertain, and we should be real about that. It’s okay to acknowledge that what we're creating may not be what’s needed, but we still need to keep building.
  3. Collaboration matters a lot. Working with people who share our understanding and goals can make a difference in how effective our efforts are, even in unpredictable circumstances.
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Inside Pulley's AI-Native Engineering Team

Artificial Ignorance • 92 implied HN points • 18 Jun 25
🕹 Technology Software
  1. Using AI regularly helps small teams work efficiently. By leveraging AI tools, even a small engineering team can compete with much larger companies.
  2. It's important to foster a culture of experimentation with AI. When team members are excited about trying new AI tools and sharing what they learn, it boosts overall productivity.
  3. Skills are shifting from direct coding to more strategic tasks like writing specifications. As AI becomes more capable, being able to communicate ideas clearly and manage these tools is becoming crucial.

Meter: The Internet Utility

Not Boring by Packy McCormick • 183 implied HN points • 30 Jan 25
🕹 Technology Software
  1. Meter aims to make internet access as easy and universal as electricity. The founders believe that just like buildings come ready for power, companies should have straightforward internet setups too.
  2. By integrating hardware, software, and support into one package, Meter can provide better service at a lower cost. This approach helps them stand out from traditional network providers.
  3. Meter is working on creating advanced AI models to automate network management. This means that over time, networks could self-configure, get smarter, and require less human intervention.

The GPT Era

Artificial Ignorance • 79 implied HN points • 10 Jul 25
🕹 Technology Software
  1. The development of AI from models like GPT-3 to GPT-4 has seen rapid improvements in technology and user experience. Each version has made it easier for people to interact with AI in more useful ways.
  2. Competition in the AI market has led to better products and features, such as enhanced memory, web integration, and advanced coding tools. Now many companies offer similar core functions, making it important to focus on product design and user experience.
  3. As AI continues to evolve, there's a growing focus on reasoning models that help systems think more deeply. This shift will be important for making AI even more effective and adaptable in the future.

Weekly Top Picks #94

The Algorithmic Bridge • 201 implied HN points • 13 Jan 25
🕹 Technology Software
  1. OpenAI's new model is not just a chatbot; it's designed to help users think and set goals differently.
  2. AI progress is happening fast, but many people aren't aware of it, making it hard to get ready for big changes ahead.
  3. There are worries about AI tools and trust issues, so it's essential to think carefully about how we use and talk about AI.

The Sequence Engineering #676: Hacking with Gemini CLI

TheSequence • 84 implied HN points • 02 Jul 25
🕹 Technology Software
  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.

What would a $2,000-a-month ChatGPT look like?

Enterprise AI Trends • 168 implied HN points • 19 Feb 25
🕹 Technology Software
  1. The future of AI will see two main pricing categories: low-end for general users and high-end for specialized, enterprise-focused users. There's not much room in the middle.
  2. High-end AI products will need to be built on strong industry knowledge and proprietary data to be successful. This means startups might struggle to compete.
  3. AI companies can charge a lot because their products provide immense value in competitive fields, where even a small advantage can lead to big profits.

Workflows as Abstractions to Capabilities

The API Changelog • 4 implied HN points • 30 Jan 26
🕹 Technology Software
  1. Baking API integrations into code creates maintenance hell because the more services you add, the higher the chance a change will break something and make troubleshooting hard.
  2. Map integrations to business capabilities (like “sale close”) instead of raw API operations so it’s easier to diagnose failures, reduce complexity, and swap vendors without breaking business flows.
  3. Implement those capabilities as visual workflows with low-code/no-code tools so teams can see, manage, assign, and lifecycle-manage integrations, making fixes and outsourcing simpler.

The first generation of programming directors

Brick by Brick • 54 implied HN points • 18 Aug 25
🕹 Technology Software
  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.

5 Cybersecurity Predictions for 2024

Frankly Speaking • 203 implied HN points • 27 Dec 24
🕹 Technology Software
  1. In 2024, cybersecurity companies will focus more on creating platforms instead of using many separate tools. This means they can work faster and solve problems better.
  2. Cybersecurity is moving towards building its own solutions rather than just buying products. This change is necessary to keep up with the evolving threats.
  3. The use of AI in cybersecurity will become more effective. Companies will learn how to use AI to make their security processes better and faster.

Introducing RunLLM: The first AI Support Engineer

Generating Conversation • 163 implied HN points • 24 Feb 25
🕹 Technology Software
  1. RunLLM is an AI designed to help support teams by managing technical questions and documentation, making the process easier for both support staff and customers.
  2. One challenge for support teams is that technical products often create complex questions that can overwhelm them. RunLLM helps lighten that load by providing quick and accurate answers.
  3. Instead of just answering questions, RunLLM engages with users, helping to boost their confidence in seeking help and improving overall customer satisfaction.

What is RLHF?

Technically • 24 implied HN points • 11 Nov 25
🕹 Technology Software
  1. Reinforcement Learning from Human Feedback (RLHF) makes AI models like ChatGPT more helpful by showing them what good answers look like. It teaches them how to be useful assistants instead of just being knowledgeable.
  2. Before RLHF, AI models could give correct but irrelevant answers, like a toddler with a lot of knowledge but no idea how to apply it. They often generated strange or confusing responses.
  3. The process of RLHF includes humans ranking AI-generated answers, which helps refine the models. This way, they learn to be more concise and relevant to our needs.

How to apply best practices

Bad Software Advice • 82 implied HN points • 30 Jun 25
🕹 Technology Software
  1. People often look up to successful figures and want to imitate them, especially in the workplace. This influence can shape our ambitions and desires.
  2. Best practices in software can sometimes feel more like advertisements than helpful guidelines. They might push you to adopt tools that you don't really need just to seem relevant or 'cool'.
  3. Using tools like Kubernetes might be seen as essential by some, but it's important to evaluate whether they truly fit your needs and goals, instead of just following trends.

Extending the demo: Thunder Force V (Saturn)

Rings of Saturn • 58 implied HN points • 13 Aug 25
🕹 Technology Software
  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.

Compression - en francais

Squirrel Squadron Substack • 3 implied HN points • 04 Feb 26
🕹 Technology Software
  1. Compression works by removing redundancy to make data smaller; lossless compression preserves every bit while lossy methods discard detail, and truly random data resists any meaningful shrinking. Recompressing already-compressed data usually fails and can make files bigger, so there are strict limits to how far you can compress.
  2. Information theory defines limits on compression and measures information by how short a program can reproduce the data (Kolmogorov complexity). Effective compression depends on clever representations and adaptive algorithms that capture structure in the data.
  3. Large language models behave like powerful compression-and-prediction systems that build compact internal models by learning to predict the next token. This predictive compression explains much of their useful, seemingly intelligent behavior and their value as productivity tools, even if they are not human thinkers.

The fundamentals of agent-driven software workflows

Dev Interrupted • 74 implied HN points • 08 Jul 25
🕹 Technology Software
  1. Agent-driven workflows are key for AI in software, moving beyond just coding tools to smarter systems that can manage the entire process.
  2. To benefit from AI tools, companies need to improve their systems and processes, not just focus on what the tools can do on their own.
  3. Successful AI strategies will rely on creating connected, efficient workflows rather than isolated software solutions.

Brain Boost

Polymathic Being • 59 implied HN points • 10 Aug 25
🕹 Technology Software
  1. AI can be a really helpful research tool. It can help you find good information and understand complex topics better.
  2. Using AI doesn't mean you stop thinking for yourself. You should work with AI to challenge your ideas and get different perspectives.
  3. AI is like a conversation partner for your research. It can help you explore ideas, ask questions, and keep you on track.

Video Notes, improved search, Spotify integration, and more

Substack • 451 implied HN points • 18 Apr 24
🕹 Technology Software
  1. Substack has added new features like posting videos directly in Notes, making it easier for creators to share content.
  2. They've improved the search function on the platform, allowing users to find posts faster and more easily.
  3. Podcasters can now distribute their episodes to Spotify, helping them reach a wider audience and potentially make more money.

Daily bit(e) of C++ | Hardened mode of standard library implementations

Daily bit(e) of C++ • 78 implied HN points • 20 Jan 24
🕹 Technology Software
  1. Dealing with assumptions in programming can be risky, especially in C++ where a violated assumption can lead to undefined behavior.
  2. Proper engineering practices like good unit test coverage and sanitizers can help catch bugs, but sanitizers may not detect all issues, particularly at the library level.
  3. Using the hardened mode of standard library implementations like stdlibc++ and libc++ can provide safety features against specific attacks and checks without affecting ABI, enhancing development experience.

Deep Learning Frameworks

Gonzo ML • 252 implied HN points • 01 Nov 24
🕹 Technology Software
  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.

Prospero Pascal for the Atari ST

Goto 10: The Newsletter for Atari Enthusiasts • 78 implied HN points • 19 Jan 24
🕹 Technology Software
  1. Prospero Software made compilers for Atari ST and other systems like Sinclair QL and OS/2.
  2. Prospero Pascal was an extensive system with manuals totaling 718 pages, making it one of the most detailed ST development tools.
  3. The integration capability of Prospero compilers allowed for sharing libraries between Prospero Pascal, C, and Fortran, giving a unique advantage in the market.

Clouded Judgement 1.2.26 - Authority Is the AI Bottleneck

Clouded Judgement • 10 implied HN points • 02 Jan 26
💼 Business Software
  1. Whether AI is allowed to be authoritative or only assistive decides its real impact: assistive AI saves time but usually doesn’t change results, while authoritative AI can reshape workflows and unlock big returns.
  2. Letting AI act forces organizational choices about where the source of truth is, what error rates are acceptable, who is accountable, and how to roll back mistakes — and those questions matter more than which model you use.
  3. Teams that get outsized returns pick narrow domains, set tight guardrails, and invest in data quality, observability, and rollback so AI can own outcomes and trust grows over time.

Our Guests Tell Us Their Favorite AI Tools

The Cognitive Revolution • 137 implied HN points • 27 May 23
🕹 Technology Software
  1. AI builders use accessible, AI-first tools with good UI in their daily work.
  2. Developers recommend tools like ChatGPT, CoPilot, Bearly.ai, Layup, MusicLM, Supermeme.ai, Character.ai, and EzDubs.AI.
  3. Podcast episodes feature guests discussing AI tools, foundational models, coding techniques, chip design, and language models.

How to run LLaMa in an old GPU

followfox.ai’s Newsletter • 137 implied HN points • 20 Apr 23
🕹 Technology Software
  1. Local LLMs are not as advanced as ChatGPT but show potential for various applications.
  2. LLaMa models by Facebook are licensed for non-commercial use and show good performance for their size.
  3. GPTQ quantization technique enables running LLaMa on old GPUs by compressing model weights and maintaining speed.

How AI makes English a programming language

Mythical AI • 137 implied HN points • 07 Apr 23
🕹 Technology Software
  1. AI is making it easier for people to program by allowing them to describe tasks in English and having the computer figure out the code.
  2. Computers need precise instructions and struggle with understanding context, making programming challenging.
  3. Programmers are rare, expensive, and building software is costly, but AI is helping automate coding, making programmers more productive.

tldraw's upcoming re-launch

tldraw • 137 implied HN points • 20 Mar 23
🕹 Technology Software
  1. The new version of tldraw is leaving beta and moving to tldraw.com on April 4th, 2023.
  2. Content from beta.tldraw.com will be moved to tldraw.com without being sent to their servers.
  3. The original version of tldraw will be available at old.tldraw.com for viewing read-only projects.

[TI-06] people and computers

spencer's paradoxes • 137 implied HN points • 13 Jul 23
🕹 Technology Software
  1. The show Halt and Catch Fire explores the history of personal computers and the early days of the World Wide Web.
  2. Computing can be a tool for creating human connection and meaningful interactions on the internet.
  3. Focusing on creating a computing environment that encourages collaboration, creativity, and shared experiences can lead to a more positive online space.

Not all BOM's are Created Equal

Resilient Cyber • 119 implied HN points • 07 Nov 23
🕹 Technology Software
  1. Not all software bills of materials (SBOMs) are the same, and they are important for software supply chain security. They help provide transparency about the components within software.
  2. The BOM Maturity Model can help evaluate how complete and useful a BOM is. It measures difficulty in obtaining data and assesses how well the BOM meets certain standards.
  3. As the industry works towards better SBOMs, tools and resources like the OWASP guides are crucial. They aim to improve understanding and detail in software management, similar to standards in food or pharmaceuticals.

Putting AI To Work

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 11 Apr 24
🕹 Technology Software
  1. AI tools can help businesses automate tasks and improve efficiency without needing coding skills. This makes it easier for companies to integrate AI into their workflows.
  2. It's important to have a single platform that can manage different AI models together. This way, organizations can create more effective applications by combining the strengths of various models.
  3. Moving AI projects from ideas to reality requires careful planning and testing. Organizations need to ensure models are well-trained before using them in real-world applications.

The Sequence Knowledge #756: The Simplest Approach to Synthetic Data Generation

TheSequence • 21 implied HN points • 18 Nov 25
🕹 Technology Software
  1. Generative synthesis creates new data by understanding the patterns in existing datasets. It's like learning how a recipe works and then creating a dish that tastes similar.
  2. This method is used to build realistic examples of data, making it helpful for expanding small datasets and reducing bias. It can help create balanced data where some important types might be missing.
  3. Generative synthesis is also important for privacy since it can produce data that looks like real sensitive information without revealing any actual details.

Links: February 2024 edition

Blog System/5 • 496 implied HN points • 29 Feb 24
🕹 Technology Software
  1. The post summarizes interesting articles, videos, and projects from February 2024 with added commentary to urge readers to explore the content.
  2. There are discussions on topics like old hardware databases, software development reflections, and the challenges of modern software bloat.
  3. The author explores topics like breaking memory limitations in DOS, DJGPP running GNU programs on DOS, and the creation of a library in Rust for implementing memory vulnerabilities.

MCP servers are the bridge between AI agents and APIs

Dev Interrupted • 56 implied HN points • 07 Aug 25
🕹 Technology Software
  1. MCP servers act as a bridge that helps AI agents communicate with APIs more effectively. This makes the interaction smoother and allows for complex tasks to be automated without exhaustive programming.
  2. The introduction of MCP changes how APIs are designed. API providers need to focus on better search capabilities and richer metadata because AI agents require more context to function well.
  3. Soon, MCP will be the standard for how AI interacts with APIs. Companies must adapt their API strategies to consider how AI agents work, ensuring they're built to support this new way of connecting.

Agents, Agents, Agents

Teaching computers how to talk • 178 implied HN points • 20 Jan 25
🕹 Technology Software
  1. In 2025, AI agents are expected to become very popular, but there's skepticism about their real capabilities. Many companies are making bold claims, but it's important to see if the technology can truly deliver.
  2. The term 'AI agent' is being used a lot nowadays, but many so-called agents are just chatbots with limited functions. True AI agents should work independently and be able to interact meaningfully with their environment.
  3. Understanding user needs is crucial when integrating AI solutions. Companies should focus on solving real problems instead of simply adopting trendy technologies without considering their usefulness.

User Products under LGPL-3.0

burkhardstubert • 99 implied HN points • 04 Dec 23
🕹 Technology Software
  1. If your product uses LGPL-3.0 libraries like Qt and it’s for consumers, you need to let users modify and install new versions. This applies to things like smart ovens or phones.
  2. Manufacturers worry about safety when users can modify software. But if owners make changes, they might void warranties and be responsible for any problems.
  3. For business products, the rules are easier. Companies don't have to allow modifications, which helps them keep tighter control over how their products operate.

Notes on Chapter 25

Life Since the Baby Boom • 230 implied HN points • 07 Nov 24
🕹 Technology Software
  1. Meeting discussions often become unproductive when everyone tries to push their own favorite features instead of focusing on what's best for the product. Clear decision-making is essential to avoid mediocrity.
  2. Successful product development requires someone in charge who can confidently say 'no' to less important ideas, making it easier to prioritize essential features.
  3. Media strategy can be very effective when interviews are used to direct the conversation toward key topics, allowing for a more focused and engaging presentation.