The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Randomness, dodging phone bans & astrological strategies

The Strategy Toolkit • 0 implied HN points • 27 Jan 25
🕹 Technology Digital Media Algorithms User Experience Software Development Data Analysis
  1. People expect randomness to seem chaotic, but true randomness can appear ordered. This misunderstanding affects how we perceive things like music playlists.
  2. Users often complain about problems with shuffle algorithms, thinking they should never see clusters of songs from the same artist. But statistically, that can happen and is actually normal.
  3. Our brains are wired to look for patterns, making us think randomness should behave in a way that fits our expectations, rather than how it actually works.

Sort February Update: On-prem, SOC 2, and Product Hunt!

Database Engineering by Sort • 0 implied HN points • 03 Feb 25
🕹 Technology Data Management Software Development Product Launch Cybersecurity Cloud Computing
  1. Sort made it to the front page of Product Hunt, ranking #6, which helped it gain a lot of visibility among users.
  2. An on-premises version of Sort is now available, which is great for industries that need to keep their data secure, like healthcare and finance.
  3. Sort has achieved SOC 2 Type 2 Certification, showing they have good security practices in place to protect data.

MikMak New APIs, Harness + Traceable, DeepSeek Increases API Prices

The API Changelog • 0 implied HN points • 19 Feb 25
🕹 Technology APIs Digital Infrastructure Software Development Cybersecurity Fintech
  1. Aduna is working to make access to network APIs easier around the world by partnering with Sinch, which will help improve digital communication services.
  2. MikMak has launched new APIs and made updates to its platform to help brands increase sales and expand globally, including new pricing intelligence tools.
  3. DeepSeek is raising its API prices, which may lessen competition for cloud vendors while helping businesses focus on localized deployments.

s1: Simple test-time scaling

Gonzo ML • 0 implied HN points • 12 Feb 25
🕹 Technology AI Machine Learning Data science Computing Software Development
  1. A new model called s1-32B was created by using a small dataset of 1,000 question-answer pairs focused on reasoning. This cost about $25 to train, which is quite affordable.
  2. The method of controlling how much the model thinks during tests allows for better performance. They used a strategy called budget forcing to ensure the model generates the right amount of information.
  3. This approach showed that it's possible to achieve high-quality results with less data and resources, suggesting a promising path for future AI developments.

Are Your AI Policies Still “PDF”? Really?

OSS.fund Newsletter • 0 implied HN points • 05 Jun 25
🕹 Technology AI Governance Software Development Risk management
  1. AI policies should be more than just documents; they need to be coded directly into the systems. This helps ensure that rules are automatically enforced and reduce the risks of mistakes.
  2. Ignoring policy-as-code can lead to serious issues, like compliance breakdowns and financial losses. Simple coding changes can prevent big problems before they happen.
  3. Integrating policies into the development process makes AI governance a part of daily operations, helping companies to adapt quickly and use AI effectively without getting bogged down by regulations.
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Reasoning Environments, LLM Memory, and Financial Interpretability

ppdispatch • 0 implied HN points • 06 Jun 25
🕹 Technology AI Machine Learning Software Development Data science
  1. Reasoning Gym offers new ways to train models so they can get better at logic and math. It's like a gym for AI where they can practice and improve their skills.
  2. New techniques are helping us understand how large language models work in finance. This makes it easier to spot problems and ensure they follow rules.
  3. Research shows that language models like GPT memorize data before they start to understand it better. They can store a certain amount of information before they have to generalize.

Build it twice

Russell’s Index • 0 implied HN points • 11 Jun 25
🕹 Technology Software Development Prototyping Code Review Version Control Agile methodologies
  1. Start with a rough prototype to test ideas quickly. Don't worry about making it perfect; just get it to work and learn what you need.
  2. After your first build, take the time to create a cleaner, more polished version. You'll find it's easier because you've already discovered key challenges.
  3. Use your initial prototype as a reference, making it easier to improve and organize your code in a way that others can understand better.