The hottest Software Substack posts right now

And their main takeaways
Category
Top Technology Topics
The Algorithmic Bridge 201 implied HN points 16 Dec 24
  1. AI that can think has a lot of value and potential applications. It's exciting to see how it can change various industries.
  2. Google made significant announcements this week, showcasing its advancements in AI technology. These updates could have a big impact on users.
  3. Many startups in the AI field are becoming bold in their claims and offerings. It's important to approach these developments with a critical eye.
Technically 14 implied HN points 11 Dec 25
  1. Evals are software tests for AI that turn fuzzy model outputs into measurable metrics so you can find and fix errors instead of guessing.
  2. Look at your data first — analyze real outputs to spot where the model fails, because you can’t measure or fix problems you don’t identify.
  3. Start with simple keyword checks and assertions before building complex “LLM-as-judge” setups, and iterate: test, fix, measure, repeat; otherwise your system just feels like a slot machine.
The Engineering Manager 13 implied HN points 14 Dec 25
  1. Skills fade when you stop using them, and offloading thinking to AI can speed that decline if you’re not careful.
  2. Stay close to the work with a minimum effective dose of coding, pair programming, and regular dives into PRs and architecture so you keep your technical edge.
  3. Use AI intentionally: experiment with tools yourself, offload only menial tasks, and always do a first-pass of thinking before prompting so AI augments rather than replaces your judgment.
Identity, Authenticity, and Security 2 HN points 04 Sep 24
  1. Authentication is about proving who you are. It's like showing your ID before entering a building.
  2. Authorization is about what you are allowed to do. It's like having a VIP pass that lets you access certain areas.
  3. Both authentication and authorization are important for keeping applications secure. They help protect personal data and maintain trust with users.
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davidj.substack 71 implied HN points 01 Jul 25
  1. Agents can simplify processes by automating tasks that used to require complex software. Instead of building software for specific needs, you can create a simple agent that does the job quickly.
  2. Developing an agent often takes much less time than traditional software development. With the right tools, you can set up a functioning agent in just half an hour.
  3. Businesses might shift focus from selling software to providing services that include agents. Customers will prefer solutions that are easy to use, so products with complicated setups may struggle to succeed.
The Uncertainty Mindset (soon to become tbd) 99 implied HN points 29 Nov 23
  1. Asking good questions is important for getting useful answers. A good question is one that is foundational, meaning its answer can help answer many other questions.
  2. Foundationality is about understanding questions in a hierarchy. The more foundational a question is, the more it influences other questions.
  3. Thinking clearly and framing questions well can lead to breakthroughs. It may be hard work, but it's necessary to unlock important answers, especially in complex areas like AI.
Resilient Cyber 99 implied HN points 27 Nov 23
  1. Software supply chain attacks are increasing, and it's important to be aware of them.
  2. Both proprietary and open source software play roles in security, so understanding their impacts is vital.
  3. There are best practices and resources available to help improve software supply chain security.
Detection at Scale 39 implied HN points 02 Apr 24
  1. A security breach was discovered in xz-utils versions 5.6.0 and 5.6.1, allowing unauthorized remote access.
  2. Detection methods include monitoring cloud instances, correlating processes, KQL queries for Sentinel, binary analysis with YARA, Osquery, and Sysdig Falco.
  3. Reproducing the attack can be done using resources like Kali Blog and Xzbot, while there are infographics summarizing the background and timeline of the backdoor incident.
Why Now 7 implied HN points 09 Jan 26
  1. Models suffer from "context rot" on very long inputs: attention gets diluted, positional signals degrade, and small mistakes compound over long sequences.
  2. Recursive Language Models (RLMs) handle long context by having a root model peek, create targeted context slices, spawn sub-models to summarize or process each chunk, and then combine results, so each model sees much less context.
  3. RLMs have shown strong empirical gains and cost savings on long-context benchmarks, and they could enable scalable codebase reasoning, long-running assistants, and other tasks that need effectively unlimited context.
Confessions of a Code Addict 168 implied HN points 14 Jan 25
  1. Understanding how modern CPUs work can help you fix performance problems in your code. Learning about how the processor executes code is key to improving your programs.
  2. Important features like cache hierarchies and branch prediction can greatly affect how fast your code runs. Knowing about these can help you write better and more efficient code.
  3. The live session will offer practical tips and real-world examples to apply what you've learned. It's a chance to ask questions and see how to tackle performance issues directly.
Dev Interrupted 14 implied HN points 02 Dec 25
  1. Developer job satisfaction is improving after a recent dip, driven mainly by better autonomy and compensation, though senior engineers report higher happiness than juniors.
  2. AI tools speed up code generation but often just move the bottleneck to testing, validation, and maintenance, so teams need experienced oversight and metrics to avoid creating technical debt quickly.
  3. Large language models can be compressed and de‑censored, showing they’re easy to reverse‑engineer and repurpose, which raises new risks for model security and trust.
Generating Conversation 140 implied HN points 27 Feb 25
  1. Good AI should figure things out for you before you even ask. It should make your life easier by anticipating what you need without requiring a lot of input.
  2. Trust is key for AI systems. They should be honest about what they don't know and explain their level of confidence. This helps users rely on them more.
  3. AI should take complex information and boil it down to what's important and easy to understand. It should help you find insights quickly without overwhelming you with details.
Rings of Saturn 58 implied HN points 26 Jul 25
  1. ReBoot was a groundbreaking TV show in 1994, famous for its 3D CGI animation, which felt futuristic at the time.
  2. The PlayStation game based on ReBoot includes several cheat codes, some of which were discovered by examining the game code more closely.
  3. New cheat codes like 'Rainbow' and 'Long Camera' can change the visuals of the game, making it more colorful or giving a top-down view.
Dev Interrupted 46 implied HN points 21 Aug 25
  1. Moving from local Model Context Protocol (MCP) servers to remote ones can help keep sensitive data secure and manageable. This shift reduces security risks by limiting access points and providing a central control system.
  2. Using centralized agent gateways allows organizations to set strict permissions and guidelines for how AI tools interact. This helps maintain control and ensures that only trusted tools are used in the process.
  3. For large organizations, remote MCP servers are better suited for scaling AI solutions efficiently. They simplify complex tasks by letting managers pre-define toolsets, making it easier for AI agents to perform their jobs without user confusion.
Bad Software Advice 164 implied HN points 20 Jan 25
  1. Documentation is important, but sometimes people struggle to keep it updated. A funny story shared highlights a case of trying to restore missing documents in a company.
  2. Remote work has its advantages, but it doesn't fit everyone's situation. Personal circumstances can greatly affect how well someone can work from home, and it's important to consider different perspectives on this topic.
  3. Incompetent management can sometimes still keep a company afloat if conditions are stable. However, if situations change, it can threaten the organization's survival.
In My Tribe 425 implied HN points 09 Mar 24
  1. Addressing technical debt in outdated software systems is a significant business opportunity, especially using new pattern-matching models to optimize and secure old software.
  2. Leveraging large language models (LLMs) for customer support improvement and developing efficient back-office apps for various sectors presents lucrative business prospects.
  3. Special-purpose robots tailored for specific tasks like security or medical procedures offer practical business opportunities compared to humanoid robots.
In My Tribe 212 implied HN points 28 Oct 24
  1. Using AI to do students' writing can take away the benefits of creativity and expression that come from writing practice. It's important for students to engage with the writing process themselves.
  2. AI tools like NotebookLM are changing how we create content, such as podcasts. These tools can generate engaging discussions, but they need to be customizable to suit individual styles.
  3. AI is seen as a powerful tool that can enhance research and intelligence. Instead of just analyzing data, it can help in conducting experiments and discovering new methods in various fields.
AnyCable Broadcasts 59 implied HN points 07 Feb 24
  1. Introducing AnyCable+, a Software-as-a-Service product that simplifies real-time features setup, with the option to run it on premise later.
  2. The Action Cable adapterization initiative aims to enhance the capabilities of Action Cable and open up new possibilities.
  3. Channels in Action Cable offer benefits like organizing communication logic, simplifying stream authorization, and enabling RPC capabilities.
Generating Conversation 70 implied HN points 26 Jun 25
  1. AI hasn't changed everything yet because people have different expectations about what it can do. Many casual users don't see big life changes despite using AI tools.
  2. To get better results from AI, we need to be more specific in our requests. Providing more context helps AI deliver useful answers.
  3. AI works best when it's focused on specific tasks. Applications targeted at solving clear problems have already shown great success, while broader uses often fall short.
Weekend Developer 19 implied HN points 31 May 24
  1. Technical debt is like borrowing time when you write code shortcuts that need to be revised later, similar to financial debt repayment with interest.
  2. Ways technical debt can occur: rushed development, lack of documentation, poor testing, ignoring refactoring, avoiding version upgrades, and lacking developer tools.
  3. Consequences of excessive technical debt include decreased productivity, increased bugs, higher costs, team morale issues, and security risks; managing it involves prioritizing refactoring, writing tests, documenting, reviewing code, and communicating with stakeholders.
The Lunacian 230 implied HN points 16 Oct 24
  1. The Axie Game Stats Discord Bot is now live, helping players track in-game stats for different Axie games like Origins and Classic.
  2. You can use commands to find individual player stats, guild performance, and even recent match history easily in Discord.
  3. The bot is new and will keep getting updates and features. Players are encouraged to share feedback to help improve it.
More Than Moore 210 implied HN points 05 Nov 24
  1. Tenstorrent is focusing on a combination of selling hardware and open-sourcing their software. This allows them to work closely with clients while still attracting broader interest.
  2. The company is training up to 200 Japanese engineers in their technology to help improve local manufacturing capabilities. This will enhance skills in the region and expand the use of their designs.
  3. Tenstorrent is growing its operations in Japan and developing local teams. This signals their commitment to being a key player in the Japanese semiconductor industry.
Hard Mode by Breaking SaaS 117 implied HN points 31 Jul 23
  1. Databricks made a bold $1.3B bet on acquiring MosaicML for their generative AI platform.
  2. Efficiency is key in using GPU capacity effectively, leading to competitive advantages.
  3. LLMs are now considered table stakes for data companies, with the focus shifting towards the importance of privacy in AI models.
QUALITY BOSS 39 implied HN points 25 Mar 24
  1. Metrics help show how good a product is and can lead to improvements. They can boost quality and user happiness.
  2. Bug metrics track issues like how many bugs are found after release and how long they take to fix. This helps teams focus on areas needing help.
  3. Product and automation metrics can include customer satisfaction and how well automated tests work. They help understand what's going right or wrong in the product.
Fight to Repair 78 implied HN points 21 Dec 23
  1. Polish hackers faced legal pushback after repairing a train that a manufacturer attempted to render inoperable remotely, highlighting the risks of DRM and anti-competitive behavior.
  2. DRM controls extend to various devices like farm equipment and cars, restricting repairs to authorized technicians and limiting consumer choice, highlighting the need for right to repair laws.
  3. Companies use DRM and legal threats to control products, emphasizing profit over consumer rights, leading to the rise of the 'landlord economy' where users pay for ownership and usage rights.
AI Brews 15 implied HN points 28 Nov 25
  1. FLUX.2 can create super detailed images and infographics with up to 10 references combined. This means it can help artists and designers make more complex visuals easily.
  2. Z-Image is a powerful image generation model that works well even on regular computers. It can produce amazing images while accurately handling both English and Chinese text.
  3. The Retake feature from ltx studio lets users quickly change parts of a video after it's made. This saves time by keeping most of the video the same while only adjusting specific scenes.
Tech Talks Weekly 19 implied HN points 21 Jun 24
  1. This week features new talks from 14 different tech conferences, making it a great time to catch up on what's happening in the industry.
  2. There's a focus on specific topics like Domain Driven Design and the future of technologies like Java, highlighting the latest trends and best practices.
  3. Readers are encouraged to spread the word about Tech Talks Weekly and give feedback to help improve future content.
Rethinking Software 149 implied HN points 10 Jan 25
  1. Shadow projects are personal work you do on your own time, outside of your usual tasks. They allow you to explore your interests and improve your skills without having to ask for permission.
  2. Working on shadow projects can help you fill gaps that your regular work might overlook. This makes your job more enjoyable while also providing value to your organization.
  3. There is some risk in doing shadow projects, as not all ideas will be accepted. However, they can lead to big opportunities and help you take control of your career.
davidj.substack 179 implied HN points 02 Dec 24
  1. SQLMesh recently announced that it is backwards compatible with dbt projects. This means teams can gradually switch to SQLMesh without having to do a big migration all at once.
  2. Using SQLMesh can help improve the clarity of data workflows and avoid broken DAGs during development. It offers features that make managing complex data stacks easier.
  3. Migrating to SQLMesh is possible even for those who aren't very tech-savvy. The process can be simple and done in an afternoon, making it accessible for teams to test and implement.
Mountain Labs Newsletter 39 implied HN points 21 Mar 24
  1. The new product, ODAK, is a CO2 detector that helps keep track of air quality and cognitive performance during work sessions. It also features a built-in time-boxing tool and LED notifications.
  2. Building hardware products offers unique challenges and benefits compared to software. Physical products can create a stronger connection with users because they can be seen and used without relying on ads.
  3. Having a clear strategy is crucial for product development. It's important to learn from past experiences and focus on a vision that aligns personal values with business goals.
philsiarri 67 implied HN points 17 Jun 25
  1. Vibe coding is a new way of programming where developers use natural language to interact with AI. Instead of writing every line of code, they describe what they want, and the AI generates the code for them.
  2. This method makes coding faster and more efficient because it allows developers to focus on high-level design rather than getting bogged down in details. It also encourages collaboration between humans and machines.
  3. Despite its benefits, vibe coding comes with challenges like ensuring code quality and security. Developers still need to be careful and verify the AI-generated code to avoid problems.
Pine 19 implied HN points 18 Jun 24
  1. Pine now has cool analytics tools to help you understand your data better. You can break down and show your information in different ways.
  2. They've made some neat improvements, like showing summary insights and helping you create better connections between cards. This makes using the app more user-friendly.
  3. You can now open links in new tabs easily and get notifications for actions you take. These small updates improve the overall experience when using the app.
Subconscious 711 implied HN points 19 May 23
  1. View software design as shaping functionality, understand what it should do first before how it does it or how it looks.
  2. Break down app functionalities into modular concepts, each with its own behavior and actions, combine existing concepts creatively.
  3. Design concepts to function independently, sync actions to ensure smooth interaction, focus on how concepts fit together to improve usability.
TheSequence 77 implied HN points 01 Jun 25
  1. The DeepSeek R1-0528 model is really good at math and reasoning, showing big improvements in understanding complicated problems.
  2. This new model can handle large amounts of data at once, making it perfect for tasks that need lots of information, like technical documents.
  3. DeepSeek is focused on making advanced AI accessible to everyone, not just big companies, which is great for developers and researchers with limited resources.