The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

🧊 The Container Iceberg, New Era of Global Databases, the 70% Dilemma in AI Coding, & More

HackerPulse Dispatch • 5 implied HN points • 10 Dec 24
🕹 Technology Software Development
  1. Companies are moving away from VMware because of high cost increases. Many are finding open-source options like OpenNebula to save money and improve efficiency.
  2. A new coding language called PyGyat has playful syntax, making Python coding more fun. It allows developers to switch between traditional Python and PyGyat easily.
  3. AI tools can help speed up coding, but they have limitations. While they help create initial code quickly, the last touches needed for quality often still require human expertise.

Data Science Weekly - Issue 424

Data Science Weekly Newsletter • 19 implied HN points • 06 Jan 22
🕹 Technology Software Development
  1. New data science managers have a lot to learn in their first year. They should focus on gaining experience and reflecting on their journey to improve their skills.
  2. Chatbots still struggle with understanding complex human queries. They often provide confusing answers because they lack real-world comprehension.
  3. Real-time machine learning is a growing trend with unique challenges. Companies are talking about their pain points and seeking practical solutions for online predictions and continual learning.

Episode 25: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 03 Jan 22
🕹 Technology Software Development
  1. The author received a significant award, becoming a Qt Champion in the Ambassador category for promoting Qt Embedded Systems. It's quite a recognition for their contributions!
  2. In 2022, the author plans to write more, give talks, and create video tutorials on Qt Embedded Systems, with over 50 ideas lined up. It sounds like they are excited to share more knowledge!
  3. The author encourages readers to engage and provide feedback, hoping to keep them as loyal readers and critics as they grow their content.

Data Science Weekly - Issue 423

Data Science Weekly Newsletter • 19 implied HN points • 30 Dec 21
🕹 Technology Software Development
  1. 2021 was a great year for AI research, with many new papers and breakthroughs that need to be understood and followed up on.
  2. Graph machine learning gained a lot of attention, and there are many new trends and advancements worth knowing about.
  3. There are many resources and tools available for learning data science and machine learning, including free courses and beginner-friendly tutorials.

Data Science Weekly - Issue 422

Data Science Weekly Newsletter • 19 implied HN points • 23 Dec 21
🕹 Technology Software Development
  1. Games can be made within spreadsheets like Excel or Google Sheets, making learning fun and interactive.
  2. Testing is an important part of a data scientist's job, and understanding how to do it can help improve analysis work.
  3. Understanding language can help in developing smarter machines, opening new paths for machine learning beyond just text processing.
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Thoughts on Infinite Games

A Small, Good Thing • 19 implied HN points • 08 Jun 23
🕹 Technology Software Development
  1. Playing the infinite game in business means building something that will outlive the current players.
  2. Companies need to be flexible and adapt to changes to become 100-year companies.
  3. Balancing learning new domains with software development is a key challenge for individual contributors.

Quyền được gãi ngứa

Thái | Hacker | Kỹ sư tin tặc • 19 implied HN points • 19 Sep 21
🕹 Technology Software Development
  1. User experience is crucial in technology design - products need to be safe and easy to use for all users, not just tech-savvy individuals.
  2. Open-source software fosters collaboration, innovation, and faster development, benefiting both creators and users.
  3. Maintaining an open-minded approach, embracing feedback, and encouraging diverse participation can lead to creative solutions and societal progress.

Episode 24: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 06 Dec 21
🕹 Technology Software Development
  1. Most machines have difficult user interfaces that frustrate users. They don't help regular users figure out how to operate the machines easily.
  2. User interfaces need to better understand people's needs and improve communication between humans and machines. This can lead to smarter, more productive experiences.
  3. Manufacturers should invest in better hardware and software today to improve user interfaces. This will help users do more with machines and ultimately sell more machines at higher prices.

the end of code tinkering

The Spicy Take AI Sandwich • 3 HN points • 26 Mar 23
🕹 Technology Software Development
  1. Programming can be seen as an art form by some, focusing on clear communication and craftsmanship.
  2. Efforts are shifting towards writing clean code, thorough testing, and understanding mistakes for better software development.
  3. Programming is evolving towards more focus on developing communication tools with computers, especially in the realm of machine learning.

Software 3.0

Div’s Substack • 3 HN points • 01 Apr 23
🕹 Technology Software Development
  1. Software 3.0 represents a shift in programming to using natural language as the new programming language.
  2. Software 3.0 involves querying a large AI model with natural language prompts to get desired output, making programming easier and more versatile.
  3. The transition to Software 3.0 brings benefits like human interpretability, generalization, and simplification of programming, but also comes with challenges like fault tolerance and latency.

🤦‍♂️ Poor data cleansing & high costs sink 98% of machine learning projects

HackerPulse Dispatch • 5 implied HN points • 12 Nov 24
🕹 Technology Software Development
  1. Most machine learning projects fail because of bad data cleaning and high costs. Companies are looking for better ways to manage their budgets.
  2. There are new security threats in programming, like malware hiding in code libraries. Developers need to check packages carefully before using them.
  3. Intel found a huge boost in performance for their Linux kernel from a tiny code change. This shows how small tweaks can lead to big improvements.

Episode 23: Burkhard On Qt Embedded Systems

burkhardstubert • 19 implied HN points • 08 Nov 21
🕹 Technology Software Development
  1. Hexagonal architecture is suggested as the standard for Qt embedded systems. This architecture helps organize code and makes it easier to manage.
  2. Current navigation apps in cars often lack self-learning features. A better app would remember routes taken and suggest them based on past trips.
  3. Automatic software updates are crucial for embedded systems. This helps companies quickly fix problems or add features without needing to send technicians.

How GPT killed then saved my startup

How Software "Sells Itself" • 10 implied HN points • 10 Mar 24
🕹 Technology Software Development
  1. Before ChatGPT, the startup's product seemed impossible, automating meeting recordings into highlight videos.
  2. The introduction of more advanced AI like GPT4 raised the bar for intelligence, leading to a major overhaul of the startup's technology.
  3. Despite the initial setback, utilizing GPT-based pipeline enabled the creation of more flexible highlight videos in a simpler, streamlined process.

Data Science Weekly - Issue 414

Data Science Weekly Newsletter • 19 implied HN points • 28 Oct 21
🕹 Technology Software Development
  1. Machine learning can work with messy data. The key is to adapt techniques to handle things like missing values instead of spending all the time cleaning the data.
  2. Visualizations should be clear and focused. Good designs help people understand the information better by removing clutter and emphasizing main points.
  3. There are emerging tools and techniques that can speed up scientific discovery through faster machine learning methods. This helps researchers process data in real time and make new discoveries.

How to explain algorithms

Notices to three friends • 3 implied HN points • 08 Mar 25
🕹 Technology Software Development
  1. Sorting is about putting every item in a list in the right spot. There are two main ways to think about this: find the right spot for each item or find the right item for each spot.
  2. Quick-sort improves sorting by avoiding unnecessary comparisons. It achieves this by selecting a pivot and organizing elements based on their relationship to the pivot.
  3. Understanding algorithms isn't just about knowing the steps. It's important to understand the reasons behind them, as this knowledge helps you innovate or adapt the processes better.

Burkhard on Qt Embedded Systems: No. 5

burkhardstubert • 39 implied HN points • 30 Apr 20
🕹 Technology Software Development
  1. Using Docker can make it easier to manage different build environments for Qt applications. It allows you to hide the complexity of the build environment while still getting the same results.
  2. There are talks about potential delays in open-source Qt releases, which could impact the community. However, it seems like these discussions may just be negotiations for better licensing terms.
  3. Continuous delivery practices can help teams perform better without sacrificing quality. By focusing on smaller, manageable changes, teams can achieve both speed and stability in software delivery.

Episode 22: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 04 Oct 21
🕹 Technology Software Development
  1. Qt 6.2 has many new features that make developing applications easier, especially with QML modules and CMake support.
  2. Parking meters can be improved with mobile apps for payments, but they need to better serve user needs for a great experience.
  3. A good solution should be user-friendly, allowing payments without internet access, and making it easy to park without confusion.

Week 80 - E8 - 🤖 AI Integration for Faster, Better Product Development

The Product Channel By Sid Saladi • 10 implied HN points • 25 Feb 24
🕹 Technology Software Development
  1. Artificial Intelligence (AI) is a pivotal force in reshaping industries, offering product managers opportunities to enhance their development lifecycle.
  2. Integrating AI into product development leads to reduced time-to-market, increased efficiency, and better resonance with users.
  3. AI helps in enhancing ideation by analyzing customer feedback, conducting market research, and generating innovative concepts to uncover promising opportunities.

Data Science Weekly - Issue 409

Data Science Weekly Newsletter • 19 implied HN points • 23 Sep 21
🕹 Technology Software Development
  1. Trees can teach us a lot about intelligence and ecology. They inspire new ways to think about nature and our relationship with it.
  2. Before jumping into machine learning, focus on gathering quality data and building a solid framework. This can often mean starting without machine learning in your first steps.
  3. Business intelligence tools are changing and should help everyone make sense of data easily. They need to provide clear answers to data questions for all kinds of users.

18/36 :Product Discovery - Risks & Mitigations

Product Mindset's Newsletter • 17 implied HN points • 21 May 23
💼 Business Software Development
  1. Understanding product risks involves assessing the impact of uncertainty on developing a product.
  2. Risk management in IT projects is crucial for maximizing results, effective communication, and allocating funds for high risks.
  3. Managing risks involves identifying, analyzing, and mitigating them through strategies like avoiding, reducing likelihood, and reducing impact.

Cultivate a Privacy-First Mindset

Building Rome(s) • 3 implied HN points • 17 Feb 25
🕹 Technology Software Development
  1. Privacy is super important for AI products, and Technical Program Managers (TPMs) play a key role in keeping user data safe and building trust.
  2. TPMs should involve legal and privacy teams early in the project to make sure privacy is part of the design, not an afterthought.
  3. It's essential to prioritize privacy throughout the development process, treating any privacy issues as top priorities and integrating privacy checks at every stage.

Data Science Weekly - Issue 408

Data Science Weekly Newsletter • 19 implied HN points • 16 Sep 21
🕹 Technology Software Development
  1. Many PhD and Master students need to rethink their work habits formed by years of homework and tests. It's important to develop a more flexible approach to learning and working in data science.
  2. The quality of training data is crucial in machine learning. It's no longer just about crafting better models; having good data can be a game changer for performance.
  3. Effective marketing budget allocation can be informed by Media Mix Modeling. This helps companies understand which advertising channels yield the best results for customer acquisition.

Episode 21: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 07 Sep 21
🕹 Technology Software Development
  1. Productised services combine a product with some service, allowing businesses to save time and offer fixed pricing. This approach makes it easier for customers to understand costs and simplifies the process for the provider.
  2. Advisory retainers let clients access expert advice on a subscription basis, enabling them to ask questions and solve problems without the expert doing the work for them. This helps clients gain independence while still having support when needed.
  3. Workshops and trainings can be adapted from common services offered to customers, providing a platform to share knowledge while attracting new clients. This method can lead to more development projects down the line.

Data Science Weekly - Issue 407

Data Science Weekly Newsletter • 19 implied HN points • 09 Sep 21
🕹 Technology Software Development
  1. Machine learning compilers help improve the efficiency of ML models, especially for edge computing, by addressing compatibility and performance issues.
  2. Scikit-learn, a popular machine learning library, has reached a significant version milestone at 1.0.0, showcasing its growth and community support since it started back in 2007.
  3. Synthetic data is becoming more important in computer vision, and using 3D content from the gaming and film industries can greatly enhance the process of creating such data.

Data Science Weekly - Issue 405

Data Science Weekly Newsletter • 19 implied HN points • 26 Aug 21
🕹 Technology Software Development
  1. Data teams should treat what they create as a product for their colleagues, focusing on what the product should feel like to ensure effective collaboration.
  2. Financial machine learning has a high failure rate, but successful managers can achieve great results; knowing the common mistakes can help avoid failure.
  3. There's a lot of potential in using AI for complex tasks, like how DeepMind's agents can play new games without prior training, showcasing advancements in reinforcement learning.

😎 Developer’s Private Spot: “Harmlessly-Interruptible” vs. “Do Not Disturb”

ppdispatch • 5 implied HN points • 08 Oct 24
🕹 Technology Software Development
  1. Hiring a separate Scrum Master can create unnecessary overhead, and teams might manage the process better on their own.
  2. AI coding tools like GitHub Copilot can actually increase bugs and may not reduce developer burnout as expected.
  3. Creating a work environment that supports both deep focus and collaboration can boost productivity for programmers.

Data Science Weekly - Issue 404

Data Science Weekly Newsletter • 19 implied HN points • 19 Aug 21
🕹 Technology Software Development
  1. Foundation models in AI are powerful tools that can be used for various tasks like language and vision, but they come with risks like misuse and ethical concerns.
  2. Causal inference helps us understand the effects of actions in data and can be applied in tech industries to personalize services and improve decision making.
  3. MLOps focuses on effectively implementing machine learning in real-world applications, bridging the gap between traditional computing and machine learning challenges.

#87

The Nibble • 4 implied HN points • 01 Dec 24
🕹 Technology Software Development
  1. Zoom is changing its focus from video to AI communications, indicating a shift in how they want to position themselves in the market.
  2. D-Link has announced that many of its old routers are now vulnerable and outdated, suggesting users should replace them to ensure safety.
  3. There are new regulations impacting crypto rewards in Europe, affecting how companies like Coinbase can offer benefits to users in that region.

Why Sorry Dave?

Sorry Dave • 1 HN point • 03 Mar 24
🕹 Technology Software Development
  1. According to MIT, over 100 errors exist in every thousand lines of code, which can have serious consequences like known human deaths.
  2. Software defects cost more than $2 trillion annually, emphasizing the need for better software development methods.
  3. While AI can assist in creating safer code, it's essential to explore new approaches beyond just relying on machine learning models.

Data Science Weekly - Issue 403

Data Science Weekly Newsletter • 19 implied HN points • 12 Aug 21
🕹 Technology Software Development
  1. Be careful with machine learning! There are common mistakes that researchers make. It's important to build models carefully and evaluate them properly.
  2. A court in Australia has decided that AI can be considered an inventor. This is a big change in how we think about inventions and who gets credit for them.
  3. Natural Language Understanding (NLU) with just big data might not work as well as we think. It's time to rethink how we approach this challenge.

Deep Learning vs XGBoost, MXNet, Hugging Face & more...

Sector 6 | The Newsletter of AIM • 19 implied HN points • 20 Jun 21
🕹 Technology Software Development
  1. Deep learning is powerful for tasks like image and speech recognition due to its complex layers. It's great for understanding patterns in large datasets.
  2. XGBoost and MXNet are tools that can be very efficient for structured data and competitions, often requiring less data than deep learning.
  3. Hugging Face is popular for natural language processing, making it easy to use advanced models without needing deep expertise in AI.

Will PostgreSQL switch to a Thread-based model ?

Engineering At Scale • 15 implied HN points • 24 Jun 23
🕹 Technology Software Development
  1. PostgreSQL currently uses a process-based model for handling client connections and managing data.
  2. The process-based model offers advantages like fault isolation, security guarantees, and efficient resource management.
  3. Although there are advantages to the process-based model, the community is considering a switch to a thread-based model for PostgreSQL in the future.

Episode 20: Burkhard on Qt Embedded Systems

burkhardstubert • 19 implied HN points • 02 Aug 21
🕹 Technology Software Development
  1. Value pricing focuses on what customers are willing to pay and guarantees results. This approach helps both the client and consultant by reducing uncertainties about costs and outcomes.
  2. Offering multiple pricing options increases the chances of acceptance. When customers can choose between different payment plans or benefits, they feel more in control and are more likely to say yes.
  3. Switching to pre-payment and reducing work hours allows more time for business operations and future planning. This means less stress and better business health for consultants.