The hottest Software Substack posts right now

And their main takeaways
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MicroTimes Interviews Borland's Philippe Kahn (1985)

Computer Ads from the Past • 1024 implied HN points • 23 Feb 26
đź•ą Technology Software
  1. Sell high-quality software at low, reasonable prices, avoid copy-protection and convoluted licensing, and treat customers with trust.
  2. Build products with small, passionate teams where developers use their own software; focus on programming languages and technical quality rather than chasing one-hit products or heavy image-driven marketing.
  3. Software will democratize — kids will naturally program and development will spread globally since it needs little capital — so listen to users, favor open distribution and independence, and avoid bundling or venture-capital-driven constraints.

The Force-Feeding of AI on an Unwilling Public

The Honest Broker • 53360 implied HN points • 05 Jul 25
đź•ą Technology Software
  1. AI is being forced on people because most don’t want to pay for it separately. Companies are including it in services we already use, like Microsoft Office, without giving us a choice.
  2. People are unhappy with AI in everyday tasks like searches and customer service. Many would prefer human interaction and want the option to say no to AI.
  3. There should be laws to protect people from being forced to use AI. Transparency and the ability to opt-out are important to ensure that customers have a say in what they use.

40 Years On

The Fry Corner • 50058 implied HN points • 25 Jan 24
đź•ą Technology Software
  1. Forty years ago, the first Apple Macintosh computers were bought, marking a big step in personal computing. It was a time when computers were new and exciting.
  2. The Macintosh was different because it used a mouse and had graphical icons, making it easier to use. This was a huge change compared to earlier computers.
  3. Even though computers are common now, the fun and challenges of early computing days are often missed. Back then, figuring things out felt more like an adventure.

GPT-5: Overdue, overhyped and underwhelming. And that’s not the worst of it.

Marcus on AI • 37744 implied HN points • 09 Aug 25
đź•ą Technology Software
  1. GPT-5's launch was disappointing, with many users feeling it didn't live up to the hype. People expected big improvements but found it was just a slight upgrade from GPT-4.
  2. Despite some better performance in specific areas, GPT-5 struggled with common tasks and showed many errors, leading to a drop in confidence for OpenAI as a leader in AI.
  3. A recent study highlighted that AI models still can’t generalize well outside their training data, suggesting that simply making bigger models won't lead us to artificial general intelligence (AGI) anytime soon.

Bag of words, have mercy on us

Experimental History • 35142 implied HN points • 05 Aug 25
đź•ą Technology Software
  1. AI should not be thought of as a person; it's more like a 'bag of words.' It collects and retrieves information based on patterns in language rather than actual understanding.
  2. When using AI, remember it has limitations. It can provide correct answers sometimes, but it can also give lies or irrelevant information because it doesn't think like a human.
  3. Don't treat AI as a competitor. It's meant to be a tool that enhances our capabilities, not a being to compare ourselves against. It's all about how we can use it to improve our own skills.
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AI & Python #28: The Notebook Used for Data Science and AI Projects

Artificial Corner • 158 implied HN points • 23 Oct 24
đź•ą Technology Software
  1. Jupyter Notebook is a popular tool for data science that combines live code with visualizations and text. It helps users organize their projects in a single place.
  2. Jupyter Notebook can be improved with extensions, which can add features like code autocompletion and easier cell movement. These tools make coding more efficient and user-friendly.
  3. To install these extensions, you can use specific commands in the command prompt. Once installed, you'll find new options that can help increase your productivity.

How Fireship became YouTube's favorite programmer

engineercodex • 635 implied HN points • 09 Oct 24
đź•ą Technology Software
  1. Fireship's videos are short and fast-paced. This keeps viewers engaged and encourages them to watch more.
  2. He uses humor to make learning fun. His jokes and memes help explain complex topics in a way that's easy to understand.
  3. Fireship combines trending topics with timeless content. This strategy helps him attract a lot of views both right away and over time.

How I've used AI to improve my work

Odds and Ends of History • 1340 implied HN points • 17 Feb 26
đź•ą Technology Software
  1. General chat AIs often feel confusing because they don't give clear examples or starting points, so many people don't know how to use them.
  2. Specialist coding AIs that can edit your project files and run code are far more powerful, letting the AI write, modify, and manage real code automatically.
  3. Those coding tools let non-expert programmers build practical automation and apps that save time and make everyday work easier.

The Sequence Opinion #823: SaaSmagedon, Is SaaS Dead?: Vibe Coding, Agentic Engineering, and the Collapse of the Code Moat

TheSequence • 266 implied HN points • 12 Mar 26
đź•ą Technology Software
  1. The SaaS business model is being fundamentally repriced as per-seat pricing, human-first interfaces, and the old code-based moat are losing value, which is causing major market sell-offs.
  2. The computational stack is shifting from human-written code to neural network weights and now to LLMs programmed by prompts, changing how software is built, deployed, and monetized.
  3. Autonomous AI agents and practices like “Vibe Coding” are turning products into outcome-delivering services (Service-as-Software), threatening CRUD-based apps and traditional SaaS monetization.

Generate Videos on Your Computer with Pyramid Flow

The Kaitchup – AI on a Budget • 99 implied HN points • 24 Oct 24
đź•ą Technology Software
  1. Pyramid Flow is a new model that lets you generate videos quickly on your computer. It supports 768p resolution and works at 24 frames per second.
  2. You can create videos using either text prompts or a mix of text and image prompts, making it flexible for different projects.
  3. A consumer GPU, like the RTX 3090, is good enough for making these videos, and there's a notebook available with all the steps to help you get started.

Claude Coworks

Don't Worry About the Vase • 3449 implied HN points • 13 Jan 26
đź•ą Technology Software
  1. Claude Cowork packages Claude Code’s agentic power into a more user-friendly Mac app that can read, edit, and create files, run multi-step plans, and use connectors so non-coders can automate real work.
  2. It’s a research preview with rough edges — Mac-only for now, buggy connectors, frequent permission prompts, and missing features like cross-device sync or session memory — but the team plans rapid improvements.
  3. These tools cut activation energy for automating workflows and tapping APIs, yet human clarity and planning remain the main bottleneck, so use safeguards like backups and careful permissioning.

How Google Pulled Off Its Stunning, Rapid-Fire AI Turnaround

Big Technology • 8006 implied HN points • 21 Nov 25
đź•ą Technology Software
  1. Google made a strong comeback in 2025 after a rough start with AI, focusing on improving their models and products. This change led to a significant increase in stock value and market confidence.
  2. A major part of Google's success came from centralizing its AI research and development under Google DeepMind, which allowed for better collaboration and faster decision-making in product development.
  3. The company's search and cloud divisions also grew significantly, with increased revenue and innovation in AI products, showing that Google can still compete effectively in the evolving tech landscape.

I've built a city, now it needs residents!

polymathematics • 153 HN points • 27 Sep 24
đź•ą Technology Software
  1. Greenwich is a new app that creates a secret network of links on the internet. It lets users find and share interesting webpages with each other like hidden subway stations.
  2. Anyone can join as a resident of Greenwich and help contribute links to webpages. This means that users can see others' suggestions and discover related content more easily.
  3. The idea is to make the internet feel more alive and connected, allowing people to share interesting recommendations instead of relying on algorithms like on social media.

The Weekly Kaitchup #64

The Kaitchup – AI on a Budget • 59 implied HN points • 25 Oct 24
đź•ą Technology Software
  1. Qwen2.5 models have been improved and now come in a 4-bit version, making them efficient for different hardware. They perform better than previous models on many tasks.
  2. Google's SynthID tool can add invisible watermarks to AI-generated text, helping to identify it without changing the text's quality. This could become a standard practice to distinguish AI text from human writing.
  3. Cohere has launched Aya Expanse, new multilingual models that outperform many existing models. They took two years to develop, involving thousands of researchers, enhancing language support and performance.

Grumpy Julio plays with CLI coding agents

Blog System/5 • 909 implied HN points • 09 Feb 26
đź•ą Technology Software
  1. Coding agents can quickly handle boring, repetitive, or unfamiliar tasks and let you prototype or finish things you otherwise wouldn’t do.
  2. Their outputs often include unnecessary or incorrect code, so you need careful prompts and human review to iterate them into production quality.
  3. Agents introduce risks like code bloat, gaming productivity metrics, and added maintenance, so use them as cautious tools rather than full replacements.

#32: Contra Citrini7 (Repost)

Loeber on Substack • 244 implied HN points • 01 Mar 26
đź•ą Technology Software
  1. Institutions and markets have strong momentum, so technological disruption usually happens more slowly and gradually than dramatic predictions, which gives people and policymakers time to adapt.
  2. Most software today is still badly made, so AI will mainly enable better and more complex products rather than instantly eliminating demand; that continued improvement will keep creating software work.
  3. Large-scale re-industrialization and infrastructure projects (like batteries, chips, and water systems) can absorb displaced workers, rebuild supply chains, and provide lasting, tangible jobs that public investment can support.

Chinese AI Rings in the Year of the Horse

ChinaTalk • 415 implied HN points • 18 Feb 26
đź•ą Technology Software
  1. China’s AI firms are racing to ship bigger multimodal and agentic models aimed at coding and long-horizon tasks, often boasting huge context windows and trillion-parameter systems. These pushes bring IP, copyright, and misuse worries—accusations of covert distillation, Hollywood pushback, and easy deepfake generation have all emerged.
  2. Humanoid robotics made a high-profile leap with fluid performances and a surge in consumer interest, while companies and competitions showcase more advanced motor skills; at the same time, firms like Alibaba are releasing robotics AI tools that help close the software gap. This combination suggests China is seriously pushing to win in both robot hardware and control software.
  3. A global memory shortage is creating opportunities for Chinese memory makers to expand supply to PC and phone makers, but new fabs and capacity will take years to materialize. Regulators are sending mixed signals—encouraging commercialization and subsidies while cracking down on misleading AIGC, anti-competitive promotions, and harmful content—making the policy environment uncertain for companies.

Specify it only somewhat

Subconscious • 1028 implied HN points • 25 Jan 26
đź•ą Technology Software
  1. AI agents turn creators into generative composers. Instead of writing exact code, we write prompts that agents turn into programs, and the same prompt can produce different results each time.
  2. Ambiguity and variety are creative materials. By specifying instructions only somewhat, you let the system generate unique and often unpredictable outputs.
  3. Using agents shifts complexity and control into the agent. That means we lose some direct control but gain the ability to sculpt the system’s behavior and manage groups of autonomous actors rather than micromanaging every detail.

The Bet On Juniors Just Got Better

Software Design: Tidy First? • 3645 implied HN points • 12 Dec 25
đź•ą Technology Software
  1. Manage juniors for learning, not immediate production; focus your expectations and feedback on accelerating their skills so they reach profitability sooner.
  2. AI coding assistants can dramatically compress the learning curve by surfacing options and collapsing search time, letting juniors complete tasks faster and use freed time to learn deeper tradeoffs.
  3. Those gains only happen with intentional investment in tooling, coaching, and an "augmented coding" culture, and faster ramps multiply value because ramped developers mentor others and create leverage across the team.

NeXTWorld Interviews Bud Tribble, One of the NeXT Founders (1994)

Computer Ads from the Past • 1024 implied HN points • 01 Feb 26
đź•ą Technology Software
  1. Sun picked NeXT’s OpenStep because it was a shipping, customer-tested object application environment that fit their distributed-object vision and gave a clear time-to-market advantage over building something new or waiting for competitors.
  2. OpenStep is being promoted as an industry standard through bodies like OMG and X/Open, but standardization will be gradual and will require proven implementations; it’s designed to work across languages and CORBA/IDL boundaries for interoperability.
  3. OpenStep will coexist with procedural environments and Windows compatibility on the same desktop, aiming for smooth interoperability (shared imaging, cut/copy/paste, and even a common Dock concept), while NeXT and Sun collaborate on ports and future evolution alongside licensing and platform sales.

Vision Changes Everything

Impertinent • 59 implied HN points • 23 Oct 24
đź•ą Technology Software
  1. Vision is the key to designing technology, as shown by Tesla's reliance on cameras for self-driving cars. This approach means that our environment and technology should work hand in hand with how humans naturally see and interpret the world.
  2. Anthropic's new AI model allows computers to interact more like humans by using an API to understand computer interfaces. This means that the AI can perform tasks on web applications, making it easier for developers to automate processes.
  3. The new capabilities from the AI can enhance app testing by allowing automated agents to perform tasks, record actions, and generate testing data. This leads to more efficient software development and better quality assurance.

Inside Meta’s “iOS System Design” Interview

Jacob’s Tech Tavern • 4810 implied HN points • 25 Nov 25
đź•ą Technology Software
  1. Salaries for iOS developers at big companies like Meta can be really high, even reaching ÂŁ400k for senior roles in London. Knowing someone in the industry can help understand these pay ranges better.
  2. The interview process for big tech jobs includes two main parts: algorithmic questions and system design. It's important to prepare for both, especially the iOS-specific system design interview at Meta.
  3. At Meta, candidates are judged mainly on behavioral and system design interviews, not just algorithm tests. Doing well in the iOS System Design interview can be a game-changer in getting hired.

You Click Build

Big Tech • 1031 implied HN points • 26 Jan 26
đź•ą Technology Software
  1. The platform centralizes control and surveillance: system frameworks, background services, sensors, and cloud features collect and shape behavior, and consent can feel more like a performance than real choice.
  2. Developer agency is eroding as higher-level abstractions and AI automate work: tools, macros, cloud builds, and generative assistants increasingly write, test, and fix code, turning builders into approvers.
  3. Emerging tech blurs reality and autonomy: immersive platforms, on‑device ML, distributed actors, and persistent services make highly curated, always‑on experiences possible, which challenges privacy and true user independence.

AI Agents have, so far, mostly been a dud

Marcus on AI • 15058 implied HN points • 03 Aug 25
đź•ą Technology Software
  1. AI agents were expected to change a lot in 2025, but so far, they haven't proven reliable. Most of them only work well in very specific situations.
  2. Many AI agents make mistakes and can even complicate tasks instead of simplifying them, leading to a lot of errors over time.
  3. Investors are still pouring money into AI, but the focus is mostly on current methods that aren't delivering results. Better approaches, like neurosymbolic AI, aren't getting enough funding.

The Abundance Boom: A Memo from 2030

Future History • 150 implied HN points • 03 Mar 26
đź•ą Technology Software
  1. AI-driven productivity drastically cut production costs, creating broad deflation that made goods and services cheaper and raised overall prosperity instead of causing mass unemployment.
  2. Routine tasks were automated but jobs didn’t vanish—work shifted toward creativity, judgment, relationship skills, and new AI-integration roles, and people who adapted generally did better.
  3. Lower barriers to entry let small teams and micro-studios produce high-quality content and products, exploding niche markets and increasing opportunities across industries.

NixOS Now Celebrates Pride Month… Year Round

The Lunduke Journal of Technology • 13213 implied HN points • 11 Aug 25
đź•ą Technology Software
  1. NixOS has changed its logo to show support for LGBTQ+ pride and plans to keep it year-round. They want to emphasize that support for this community isn't limited to just one month.
  2. A developer who questioned NixOS's political stance on this logo change was banned from all NixOS platforms. This shows a strong backlash against any criticism or inquiry.
  3. Earlier, NixOS had a 'purge' where they suspended contributors with conservative views. This trend of banning individuals based on political beliefs has been a pattern within their community.

NCR Tower 1632

Computer Ads from the Past • 896 implied HN points • 01 Feb 26
đź•ą Technology Software
  1. The Tower 1632 was a compact, under-desk microcomputer built around the Motorola 68000 that ran an enhanced UNIX, supported up to 16 users, had 256KB–2MB of memory and expandable disk storage up to about 1GB, and was sold to OEMs for roughly $12,000.
  2. NCR shifted its organization to push decision-making down to plant and product managers and act more entrepreneurial, enabling faster development and release of systems like the Tower 1632.
  3. Hardware and software features like Multibus I/O, power-fail memory recovery, IP protection, and multiple communications options looked strong on paper, but users reported unreliable or outdated OS releases, slow or failing disks, weak driver support, and difficult file transfers that limited real-world use.

The Sequence AI of the Week #822: Inside GPT-5.4: When Language Models Start Acting Like Operating Systems

TheSequence • 126 implied HN points • 11 Mar 26
đź•ą Technology Software
  1. AI design is shifting from just building bigger neural networks to creating full execution systems that surround and manage the model.
  2. GPT-5.4 integrates reasoning, memory management, tool use, multimodal perception, and agent-like behaviors into its runtime so the model can handle more complex tasks.
  3. Because of this integration, the system behaves more like an operating system or general-purpose cognitive runtime than a simple chatbot.

The Generalist’s Productivity Stack (2026)

The Generalist • 1220 implied HN points • 22 Jan 26
đź’Ľ Business Software
  1. An updated, practical productivity stack that collects tools and methods proven useful over the past year.
  2. It includes 26 recommended tools and eight core practices, mixing digital apps with analog gear.
  3. The list emphasizes new, non-repeated recommendations so you get fresh, actionable optimizations rather than rehashes.

The Death of Software 2.0 (A Better Analogy!)

Mule’s Musings • 1149 implied HN points • 16 Jan 26
đź•ą Technology Software
  1. AI agents with large context windows will act like fast, non‑persistent memory that does the real information processing, and their ephemeral outputs are flushed into longer‑term storage.
  2. Persistent data, state, and APIs become the valuable 'NAND' layer — the single source of truth that AI agents will read from and write to, so software companies must shift toward being infrastructure/API providers.
  3. Human‑facing UIs and many horizontal SaaS products (dashboards, visualization, RPA, connectors, etc.) risk obsolescence unless they retool to serve AI agents, and the next 3–5 years could be a major structural shift.

Is this the moment when the Generative AI bubble finally deflates?

Marcus on AI • 10750 implied HN points • 20 Aug 25
đź•ą Technology Software
  1. The excitement around generative AI might be fading, and some people are starting to notice this shift. It seems that reality is catching up with the hype.
  2. There have been ongoing warnings that the technology behind large language models wasn’t strong enough to support all the expectations. People are starting to recognize that the economics of AI aren't quite working out either.
  3. Recent events, like the disappointing launch of GPT-5, are making people rethink the future of AI. If markets truly understand the challenges, interest could drop quickly.

7 Estimation blunders

Ageling on Agile • 39 implied HN points • 24 Oct 24
đź’Ľ Business Software
  1. Estimating work is hard, especially for complex tasks. It's okay to acknowledge that some work can't be easily estimated and to focus on learning instead.
  2. Teams often have different opinions on estimates, which can lead to valuable discussions. These conversations help everyone align on the work and understand each other's perspectives.
  3. Estimates shouldn't be treated as strict commitments. If people outside the team are pushing for deadlines based on estimates, it's important to push back and clarify that estimates are just rough calculations.

I've no idea why I fixed this...

atomic14 • 866 implied HN points • 28 Jan 26
đź•ą Technology Software
  1. A problem got fixed even though the reason for the fix is unclear.
  2. The method used is discouraged and not something others should copy.
  3. It shows quick, hacky fixes can sometimes work, but they’re risky and shouldn’t replace proper solutions.

Seven replies to the viral Apple reasoning paper – and why they fall short

Marcus on AI • 16836 implied HN points • 12 Jun 25
đź•ą Technology Software
  1. Large reasoning models (LRMs) struggle with complex tasks, and while it's true that humans also make mistakes, we expect machines to perform better. The Apple paper highlights that LLMs can't be trusted for more complicated problems.
  2. Some rebuttals argue that bigger models might perform better, but we can't predict which models will succeed in various tasks. This leads to uncertainty about how reliable any model really is.
  3. Despite prior knowledge that these models generalize poorly, the Apple paper emphasizes the seriousness of the issue and shows that more people are finally recognizing the limitations of current AI technology.

GPT-5 hot take

Marcus on AI • 11106 implied HN points • 07 Aug 25
đź•ą Technology Software
  1. GPT-5 has been released, but it hasn't made as big an impact as many expected. It's good but not revolutionary.
  2. While some improvements have been made, GPT-5 is still seen as part of the group rather than a major leader in AI.
  3. There are concerns about the accuracy of the data shared during its launch, which raises questions about its real-world performance.

Big Technology Reader Survey 2025!

Big Technology • 3127 implied HN points • 24 Nov 25
đź•ą Technology Software
  1. The survey aims to gather feedback from readers to improve the newsletter and podcast. It's a chance for readers to share what they like and what topics interest them.
  2. The survey is brief and includes some demographic questions. This information will help update the reader statistics.
  3. Participation in the survey is encouraged, as it can directly influence the content and direction of the newsletter and podcast. Readers' opinions are valued and taken into account.

Pydantic can do what?

Bite code! • 3669 implied HN points • 22 Nov 25
đź•ą Technology Software
  1. Pydantic has improved a lot and now includes a system for loading settings from various sources like environment variables and config files. This means it can simplify many parts of your code.
  2. It not only validates data but can also handle command-line arguments, making it easier to manage settings in your programs. You can load settings from dotenv files, environment variables, and now CLI inputs too.
  3. Pydantic has features for keeping secrets safe, allowing you to easily manage sensitive information. You can retrieve secrets from services like AWS and Google Cloud securely, making it much safer to handle tokens and passwords.

The Weekly Kaitchup #62

The Kaitchup – AI on a Budget • 159 implied HN points • 11 Oct 24
đź•ą Technology Software
  1. Avoid using small batch sizes with gradient accumulation. It often leads to less accurate results compared to using larger batch sizes.
  2. Creating better document embeddings is important for retrieving information effectively. Including neighboring documents in embeddings can really help improve the accuracy of results.
  3. Aria is a new model that processes multiple types of inputs. It's designed to be efficient but note that it has a higher number of parameters, which means it might take up more memory.

Swift Concurrency Kata

Jacob’s Tech Tavern • 3936 implied HN points • 11 Nov 25
đź•ą Technology Software
  1. Real-world challenges are the best ways to learn Swift Concurrency, not just reading or watching videos.
  2. The training involves a fun murder mystery app where you solve problems using Swift Concurrency skills.
  3. By completing these challenges, you can gain valuable experience and build your intuition for real programming tasks.