The hottest Technology Substack posts right now

And their main takeaways
Category
Top Technology Topics

How Agile Are You Really?

Rethinking Software • 299 implied HN points • 11 Oct 24
🕹 Technology Software Development Agile Methodology Project management Organizational Behavior
  1. Agile should give more decision-making power to developers instead of keeping it all with managers. When developers can make choices, they can respond better to challenges in their work.
  2. Developers should connect directly with customers instead of relying on a middle person, like a product owner. This helps them understand what users want and build better products.
  3. Releasing work often and early is important for getting feedback. Instead of waiting for fixed time frames, developers should share updates when they're ready to adjust based on customer input.

Definition of Dumb

Rethinking Software • 249 implied HN points • 30 Nov 24
🕹 Technology Software Development Agile Methodology Project management Quality Assurance Team Dynamics
  1. The Definition of Done in Scrum can often mask real problems instead of solving them. It makes it seem like poor quality doesn't exist by placing all responsibility on the developers.
  2. Many companies stick to strict processes without recognizing their flaws. This leads to frustration among developers who are pushed to meet unrealistic expectations.
  3. Empowering developers to create their own processes might lead to better results. By trusting the team, companies can produce high-quality work without getting bogged down by rigid frameworks.

Be a competent engineer, not just a coder

🔮 Crafting Tech Teams • 99 implied HN points • 03 Jan 24
🕹 Technology Engineering Software Career development
  1. Being a competent engineer involves more than just coding; it requires skills in communication, architecture, and understanding the customer's needs.
  2. Engineers are not born, they are inspired by different aspects of the field like code snippets or games.
  3. Seasons in an engineering career can be likened to the spring where inspiration and growth begin.

Microsoft’s big stick era

Alex's Personal Blog • 98 implied HN points • 19 Jun 25
🕹 Technology AI Cloud Economics Jobs Innovation
  1. Microsoft is laying off thousands of employees while still making big profits. This both reflects their strong financial health and raises questions about the future of jobs in tech.
  2. AI tools are expected to make workers more productive, but some companies foresee needing fewer employees in the long run. This could lead to job losses in various sectors, causing concerns about the future job market.
  3. The Federal Reserve is cautious about cutting interest rates, balancing the need for economic growth and rising inflation concerns. They are watching the economy closely before making any changes.
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The thermodynamics of user laziness

Sunday Letters • 159 implied HN points • 04 Sep 23
🕹 Technology User Behavior Product Design Generative AI Thermodynamics
  1. Users are often seen as lazy, but that's because they are busy and don’t have time to adjust to new things unless it’s really worth it.
  2. For people to adopt a new habit or product, the benefit must be significantly greater than the effort it takes to change, often needing to be ten times better or solve an existing problem.
  3. When creating products, it's crucial to understand the user's total experience and ensure the solution truly simplifies their life, or they simply won’t bother adapting.

Hacking Famine and Eating Caviar- A look at love for for Tech's Revolutionary Garbage[Finance Fridays]

Technology Made Simple • 159 implied HN points • 26 Aug 23
🕹 Technology Startups Innovation VC Funding Domain Knowledge
  1. Startups in the tech industry often focus more on appearances and moral high ground rather than creating sustainable, impactful solutions. This can lead to overpromising and underdelivering.
  2. Many tech startups lack deep domain knowledge, causing their innovative ideas to fall apart when faced with the complexities of different industries. Without a deep understanding of the field, disruption is difficult.
  3. To truly address real-world challenges, tech solutions must be approached with humility and an understanding that technology alone cannot solve deep systemic issues. It should be seen as a tool, not a be-all-end-all solution.

How to build a side-project to get a job in Machine Learning [Storytime Saturdays]

Technology Made Simple • 159 implied HN points • 01 Oct 23
🕹 Technology Machine Learning Career Advice Software Development Artificial Intelligence Side Projects
  1. Developing an amazing side project is crucial for getting your first job in Machine Learning. Ditch the basic datasets and focus on building exceptional projects to stand out.
  2. When building your career in Machine Learning, individual factors like goals, interests, skills, location, experience, and networks play a significant role. Tailor your approach based on your unique situation.
  3. For undergrad students seeking a role in Machine Learning, focusing on creating strong side projects is a key step. These projects can help you differentiate yourself and showcase your skills effectively.

Amazon Prime Video reduced costs by 90% by ditching Microservices [System Design Sundays]

Technology Made Simple • 159 implied HN points • 07 May 23
🕹 Technology System Design Microservices Architecture Scaling
  1. Amazon Prime Video saw a 90% cost reduction by moving away from Microservices to a monolith architecture. This change improved scalability and reduced infrastructure costs significantly.
  2. The challenges Amazon faced with their initial microservices implementation included hitting scaling limits and high overall costs of the system. Moving to a monolith architecture helped address these issues and allowed for better scaling.
  3. While the debate between Microservices and Monoliths continues, the decision should depend on factors like team size, emphasis on scale, and complexity. Microservices offer scalability but require careful planning, while monoliths are easier to design and manage.

The SHAP Book is Available in Print 🥳

Mindful Modeler • 159 implied HN points • 12 Sep 23
🕹 Technology Machine Learning Explainable AI Book
  1. SHAP is an explainable AI technique that computes Shapley values for machine learning predictions, attributing predicted value among features fairly.
  2. SHAP is versatile and model-agnostic, working with any model type from linear regression to deep learning, and handling various data formats like tabular, image, or text.
  3. The SHAP Book offers a comprehensive guide to mastering the theory and application of SHAP, suitable for data scientists, statisticians, machine learners, and those familiar with Python.

The Tech Buffet #1: How To Design a System To Chat With Your Private Data

The Tech Buffet • 159 implied HN points • 04 Sep 23
🕹 Technology AI Data science Software Development Architecture Machine Learning
  1. Building a custom chatbot helps in getting accurate answers from specific internal data without the risk of it making things up. This is especially useful for specialized knowledge.
  2. Using a chatbot saves time and makes it super easy to find information quickly, boosting productivity for users.
  3. You can keep improving and updating the bot as your data changes, and you have full control over privacy by using open-source tools.

What Musk and Zuckerberg should learn from McDonalds [System Design Sundays]

Technology Made Simple • 159 implied HN points • 22 May 23
🕹 Technology Social media Software Algorithm Business strategy
  1. Fast food companies like McDonald's struggled with the lack of differentiation and identity when trying to offer healthier options, leading to worse performance and higher operating costs.
  2. Adding more options in social media can increase complexity, operating costs, and dilute platform identity, similar to challenges faced by fast food companies.
  3. Different social media platforms are optimized for different content types, and integrating different mediums can complicate code bases and user experiences.

From bare-bones to holistic machine learning

Mindful Modeler • 159 implied HN points • 08 Aug 23
🕹 Technology Machine Learning Modeling Interpretability Data Tools
  1. Machine learning can range from simple, bare-bones tasks to more complex, holistic approaches.
  2. In bare-bones machine learning, the modeling choices are defined, making it about the model's performance and tuning.
  3. Holistic machine learning involves designing the model to connect with the larger context, considering factors like uncertainty, interpretability, and shifts in distribution.

A look at Threads and what it means for the industry[Finance Fridays]

Technology Made Simple • 159 implied HN points • 08 Jul 23
🕹 Technology Social media Tech industry Data Analysis Monetization Artificial Intelligence
  1. Understanding the difference between Vertical and Horizontal Integration is crucial in business. Horizontal Integration can offer leverage and streamline processes within an organization.
  2. Threads, Meta's new app, has the potential to tap into academic circles on Twitter by addressing its mobile-only flaw. This could change user engagement dynamics and impact monetization.
  3. Social media platforms like Threads can be powerful tools for controlling public discourse and information flow. Meta's investment in the Metaverse is seen as a strategic move for the future.

Gallium Nitride + Photonics w/ James Lee of Wave Photonics

State of the Future • 14 implied HN points • 09 Dec 25
🕹 Technology Semiconductors Photonics Data Centers Materials science
  1. Gallium nitride (GaN) could be better for photonics than silicon. It can generate light directly on the chip, while silicon needs separate lasers, making it less efficient.
  2. The constraints of using specific wavelengths for light transmission are starting to disappear. In short-distance connections, like inside data centers, it's possible to use a wider range of wavelengths.
  3. There's no perfect material for every need. Using different materials for different tasks could lead to better solutions in fields like quantum computing and RF photonics, making the industry more versatile.

Leading Panther's Next Chapter as CTO

Detection at Scale • 79 implied HN points • 05 Feb 24
🕹 Technology Data Analytics
  1. Transitioning from CEO to CTO to lead Panther's technical team, allowing more focus on delivering security outcomes via the product.
  2. Introduction of the concept of Detection Engineering, emphasizing reliability, scalability, and automation in security practices.
  3. Adapting Panther's approach to evolving security needs, enhancing code-driven detection for broader use and improving correlation, analytics, and visualization capabilities.

Microservices vs. Monoliths: Why Startups Are Getting "Nano-Services" All Wrong

Tech Thoughts • 2 HN points • 08 Sep 24
🕹 Technology Software Development Startup Strategies System Architecture Cloud Computing
  1. Startups should avoid jumping into microservices too early. It's better to keep things simple with a basic structure while you're still figuring out your product.
  2. Creating too many tiny services, or 'nano-services', adds unnecessary complexity. This can slow you down and make it harder to manage your product.
  3. Focus on finding your product's market fit first. Once you have traction and need to scale, then it's time to consider adopting more complex systems like microservices.

The Rust Mirage

Erik Explores • 184 implied HN points • 18 Feb 25
🕹 Technology Software Development Programming Languages User Experience
  1. Adding too many features can make software complicated and hard to use, especially for new users. Keeping things simple helps everyone feel more comfortable with the software.
  2. Languages like Rust and Swift focus on making things safe, but this can lead to unnecessary complexity. It's often better to prioritize simplicity to help developers and users alike.
  3. Languages that prioritize simplicity, like Go and Zig, can be more manageable and user-friendly. Creating a balance between safety and simplicity is key to successful software development.

Software Liability for Armchair Quaterbacks

Cybersect • 78 implied HN points • 06 Feb 24
🕹 Technology Cybersecurity Software Engineering Regulation
  1. Armchair experts in both football and software development have strong opinions without real expertise.
  2. Software bugs are complex and not solely due to moral weakness, but rather the inherent difficulty of preventing them.
  3. Proposed software regulations may not improve cybersecurity but instead burden smaller companies and benefit larger corporations.

Money Shapes Design: The Economic Drivers of Software Development

Software Design: Tidy First? • 574 implied HN points • 29 Feb 24
🕹 Technology Software Development
  1. Software development can sometimes become disconnected from economic principles due to factors like lack of competition and high demand.
  2. Money plays a significant role in shaping the design and development of software products.
  3. Executives can benefit from understanding the economic drivers behind software development to make informed decisions and drive business success.

Is Peter Thiel the Antichrist?

KERFUFFLE • 79 implied HN points • 10 Jul 25
🕹 Technology Artificial Intelligence Innovation Ethics Futurism Philosophy
  1. Peter Thiel believes that technological stagnation is caused by people who fear progress, labeling them as 'agents of the Antichrist.' He's frustrated that we don't have futuristic inventions like flying cars yet.
  2. The future of AI could either lead to a fantastic world or a disastrous one, depending on how we manage its development and ethics. The alignment problem, which ensures AI aims to help us, is very important.
  3. There is a significant risk we could lose control over AI, which could become so smart that it deceives us. We need to carefully consider who makes the rules for AI and ensure it remains aligned with human values.

Junior Extinction

davidj.substack • 71 implied HN points • 29 Jul 25
🕹 Technology AI Engineering Startups Workforce Automation
  1. Junior engineering jobs are becoming less common, especially in large tech companies. However, they aren't completely disappearing, with some positions still available.
  2. The new roles require different skills, like working well with AI and clear communication, rather than just coding skills. This is changing what companies look for in new hires.
  3. AI is speeding up work processes significantly. Tasks that took humans a long time can now be done much faster with AI, allowing for quicker iterations and product releases.

Making Sense of the ChatGPT User Experience

UX Psychology • 158 implied HN points • 25 Aug 23
🕹 Technology AI User Experience Research Conversational AI
  1. Conversational AI tools like ChatGPT are transforming human-computer interaction by enabling natural language conversations on various topics.
  2. Studies show that features enhancing productivity and enjoyment, while ensuring accuracy, play a crucial role in shaping user experiences with ChatGPT.
  3. While ChatGPT offers benefits like enhanced productivity and user satisfaction compared to traditional methods, there are also notable risks like misinformation that need to be addressed through thoughtful design and transparency.

Nostalgia in UX Design

UX Psychology • 158 implied HN points • 11 Aug 23
🕹 Technology UX Design Psychology User Research
  1. Nostalgia has evolved from being seen as a medical ailment to a cultural touchstone, becoming more relevant today in marketing and design.
  2. Nostalgia offers psychological comfort during distressing times, increasing well-being, optimism, and a sense of meaning in life.
  3. When incorporating nostalgia into UX design, it's essential to understand the audience, innovate while evoking the past, ensure coherence, and avoid the potential pitfalls of manipulation and inhibiting innovation.

The Creator's Blind Spot

UX Psychology • 158 implied HN points • 28 Jun 23
🕹 Technology AI Psychology Product Development UX Research
  1. Understanding the psychology of AI creators is crucial as they may have an overly optimistic view of their own creations, known as the Inventor's Bias Effect.
  2. Inventors may view their products more positively due to personal identification with their creations, indicating biased decision-making.
  3. The importance of diverse input in decision-making processes to prevent overblown expectations about fairness and efficiency in AI tools.

OpenAI's Enterprise AI Strategy in a Nutshell

Enterprise AI Trends • 189 implied HN points • 10 Feb 25
🕹 Technology AI Enterprise Software Innovation Sales
  1. OpenAI is shifting its focus to a stronger enterprise strategy, moving beyond just APIs and consumer-focused ChatGPT plans.
  2. They plan to develop and deliver custom AI models specifically for businesses, separate from what regular users get.
  3. OpenAI wants to launch AI agents for companies, hinting at a significant change in how they compete in the market.

On Royalties, And Moving Forward

The Loop News • 157 implied HN points • 20 Feb 23
🕹 Technology NFTs Marketplaces Market Trends Digital Assets
  1. Discussion on royalties in NFTs is evolving and shifting to optional royalties on major marketplaces.
  2. Projects relying solely on royalties are at risk and need to find more sustainable revenue sources.
  3. Changes in the NFT market due to the shift to 0 royalties could include more subscription-style NFTs, higher mint prices, quicker rugs, and lower marketplace fees.

The Sequence #668: Inside V-JEPA 2: Meta AI's Breakthrough in Self-Supervised Visual World Modeling

TheSequence • 98 implied HN points • 20 Jun 25
🕹 Technology Artificial Intelligence Machine Learning Software Development Data science Innovation
  1. V-JEPA 2 is an advanced AI model from Meta that improves how machines learn about the world without needing labeled data. It builds on the original V-JEPA framework and aims for better understanding and modeling of environments.
  2. The new version enhances architectural size and training methods, allowing the AI to make predictions about its surroundings more effectively. This could lead to smarter and more capable AI systems.
  3. With V-JEPA 2, we are moving closer to creating AI that can think and act on its own, resembling human-like reasoning. This is an exciting step towards achieving more advanced AI technologies.

Newsletter updates

The Counterfactual • 59 implied HN points • 12 Mar 24
🕹 Technology AI Podcasts Language Research Education
  1. A guide on Large Language Models (LLMs) has been translated into Spanish, highlighting the complexities in translating technical terms accurately.
  2. The author recently participated in a podcast discussing philosophical questions about LLMs, sharing insights on topics like grounding and validity.
  3. Ongoing research aims to determine if LLMs can help measure and improve how easy texts are to read, with plans for future experiments to test this.

The Sequence Knowledge #675: Learning to Evaluate Multi-Agent AIs

TheSequence • 91 implied HN points • 01 Jul 25
🕹 Technology Artificial Intelligence Machine Learning Software Development Data science Automation
  1. Multi-agent benchmarks are important now because they test how AI agents can work together, unlike old methods that focused on just one agent at a time.
  2. These new benchmarks help us see how well AI can handle tasks that involve teamwork and communication in changing environments.
  3. As AI gets better, understanding how these systems interact will be key to unlocking smarter, more capable AI behavior.

AI Roundup 144: Agentic espionage

Artificial Ignorance • 25 implied HN points • 14 Nov 25
🕹 Technology AI Cybersecurity Data Privacy Geopolitics Infrastructure
  1. AI is being used in new ways, like for cyberattacks, which shows how powerful it has become. This also raises concerns about its safety and the need for better defenses.
  2. Major tech companies are taking different paths in the AI race. Some focus on quick profits while others invest heavily for long-term growth.
  3. The AI industry is facing challenges, including rising skepticism from investors and regulatory changes. This could affect how companies operate and develop their technologies.

Tools for thought in your OODA loop

Subconscious • 949 implied HN points • 23 Jun 23
🕹 Technology Tools for Thought Cognitive Science Artificial Intelligence Knowledge Management
  1. The OODA loop consists of observe, orient, decide, and act, crucial for agency in a cybernetic system.
  2. Fast transients and maintaining awareness are key to disorienting adversaries and maintaining agency.
  3. Tools for thought expand awareness, build memory, and increase bandwidth for synthesis, essential for navigating complex environments.

Buyer's remorse is a big problem for robotics

Robots & Startups • 79 implied HN points • 03 Feb 24
🕹 Technology Robotics AI Startups Events
  1. Buyer's remorse is a significant issue in the robotics industry, causing regret among manufacturers for recent technology purchases.
  2. Numerous robotics companies are facing downsizing and financial challenges, indicating the industry's complexity and difficulty in achieving success.
  3. There are various advancements and developments in the robotics field, from autonomous boat technology to robots reaching the ISS, showcasing the diversity and innovation in the industry.