The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Push it to the Limit EP. 1—GPT Engineer

Prompt’s Substack • 119 implied HN points • 25 Aug 24
🕹 Technology AI Tools Software Development Generative AI
  1. Using GPT Engineer can help generate clean front-end React code quickly, even for those with minimal coding knowledge. It's impressive how much can be done with just prompts.
  2. Integrating a Supabase database with GPT Engineer is easy for simple cases, but it can become complex with larger databases due to relationship intricacies.
  3. Creativity in prompting is key when working with bigger databases, as GPT Engineer has some limitations with context as databases grow in complexity.

Normalization is not enough anymore.

System Design Classroom • 559 implied HN points • 23 Jun 24
🕹 Technology Database Design Data processing Software Development Performance optimization Information Systems
  1. Normalization is important for organizing data and reducing redundancy, but it's not sufficient for today's data needs. We have to think beyond just following those strict rules.
  2. De-normalization can help improve performance by reducing complex joins in large datasets. Sometimes, it makes sense to duplicate data to make queries run faster.
  3. Knowing when to de-normalize is key, especially in situations like data warehousing or when read performance matters more than write performance. It's all about balancing speed and data integrity.

Resilient Cyber Newsletter #12

Resilient Cyber • 79 implied HN points • 03 Sep 24
🕹 Technology Cybersecurity AI Security Venture Capital Software Development Data Privacy
  1. Many companies believe they are prepared for cyber threats, but actually, most lack strong leadership involvement in their cybersecurity efforts. That's making them more vulnerable.
  2. Despite spending a lot on security solutions, many enterprises still face breaches, showing that having many tools doesn't always mean better protection.
  3. There's a debate about how founders should manage their startups. Some say founding leaders need to be hands-on rather than relying on traditional management styles that don’t always work for fast-growing companies.

Tülu 3: The next era in open post-training

Democratizing Automation • 404 implied HN points • 21 Nov 24
🕹 Technology AI Machine Learning Open Source Data science Software Development
  1. Tulu 3 introduces an open-source approach to post-training models, allowing anyone to improve large language models like Llama 3.1 and reach performance similar to advanced models like GPT-4.
  2. Recent advances in preference tuning and reinforcement learning help achieve better results with well-structured techniques and new synthetic datasets, making open post-training more effective.
  3. The development of these models is pushing the boundaries of what can be done in language model training, indicating a shift in focus towards more innovative training methods.

The Pythonic Emptiness

Confessions of a Code Addict • 529 implied HN points • 09 Nov 24
🕹 Technology Programming Software Development Computer Science Data Structures Code Quality
  1. In Python, you can check if a list is empty by using 'if not mylist' instead of 'if len(mylist) == 0'. This way is faster and is more widely accepted as the Pythonic approach.
  2. Some people find the truthiness method confusing, but it often boils down to bad coding practices, like unclear variable names. Keeping your code clean and well-named can make this style clearer and more readable.
  3. Using 'len()' to check for emptiness isn't wrong, but you should choose based on your situation. The main point is that the Pythonic method isn't ambiguous; it just needs proper context and quality coding.
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Why do programmers need private offices with doors?

Shenisha’s Substack • 5 HN points • 02 Oct 24
🕹 Technology Work Environment Productivity Software Development Team Dynamics
  1. Programmers often need private offices to focus better on their work. Short interruptions can really disrupt their thought processes and lower their productivity.
  2. There are two types of work: those that can be interrupted easily and those that cannot. Knowing the difference helps in managing how we communicate in the workplace.
  3. Leaders should protect their team's focus time and understand the value of uninterrupted work. This can lead to greater creativity and better results.

No RSS Feed? No Problem. Using Claude Sync, Claude Projects and GitHub Copilot Workspace to automate everything

Olshansky's Newsletter • 114 implied HN points • 08 Jan 25
🕹 Technology AI Tools Software Development Automation Open Source Productivity
  1. Missing RSS feeds can be a hassle, but there are tools available to create them easily for any blog. Using platforms like Claude Projects and GitHub Copilot, people can automate the feed generation process.
  2. Using AI tools like Claude and GitHub Copilot can make daily tasks more efficient. They help simplify coding tasks and can significantly boost team productivity.
  3. By building custom RSS feed generators, developers can keep track of content from blogs that don’t offer subscription options. This means staying updated on favorite blogs is still possible, even without traditional feeds.

The ghosts that live in my garage

Basta’s Notes • 122 implied HN points • 13 Jan 25
🕹 Technology Machine Learning Artificial Intelligence Self-driving cars Data science Software Development
  1. Machine learning models are good at spotting patterns that humans might miss. This means they can make predictions and organize data in ways that are impressive and often very useful.
  2. However, machine learning can struggle with unclear or messy data. This fuzziness can lead to mistakes, like misidentifying objects or giving unexpected results.
  3. Not every problem needs a machine learning solution, and sometimes simpler methods work better and are more effective. It's important to think carefully about whether machine learning is truly the best tool for the job.

Last week at The Lunduke Journal (Oct 13 - Oct 19, 2024)

The Lunduke Journal of Technology • 574 implied HN points • 21 Oct 24
🕹 Technology Software AI Open Source Software Development Tech news
  1. Debian Linux is facing controversy for allegedly not wanting straight white men involved. This has sparked debates about inclusivity in tech.
  2. Winamp's source code has been deleted, which raises concerns about software preservation and availability.
  3. There's a crazy idea about AI solving CAPTCHA using nuclear power, showing how advanced tech discussions can get.

Transformer^2: Self-adaptive LLMs

Gonzo ML • 63 implied HN points • 27 Jan 25
🕹 Technology Artificial Intelligence Machine Learning Data science Computing Software Development
  1. Transformer^2 uses a new method for adapting language models that makes it simpler and more efficient than fine-tuning. Instead of retraining the whole model, it adjusts specific parts, which saves time and resources.
  2. The approach breaks down weight matrices through a process called Singular Value Decomposition (SVD), allowing the model to identify and enhance its existing strengths for various tasks.
  3. At test time, Transformer^2 can adapt to new tasks in two passes, first assessing the situation and then applying the best adjustments. This method shows improvements over existing techniques like LoRA in both performance and parameter efficiency.

Data Science Weekly - Issue 560

Data Science Weekly Newsletter • 139 implied HN points • 15 Aug 24
🕹 Technology Data science AI Machine Learning Software Development Programming
  1. The Turing Test raises questions about what it means for a computer to think, suggesting that if a computer behaves like a human, we might consider it intelligent too.
  2. Creating a multimodal language model involves understanding different components like transformers, attention mechanisms, and learning techniques, which are essential for advanced AI systems.
  3. A recent study tested if astrologers can really analyze people's lives using astrology, addressing the ongoing debate about the legitimacy of astrology among the public.

What Did You Think Getting Closer to AGI Would Be Like?

The Algorithmic Bridge • 318 implied HN points • 07 Dec 24
🕹 Technology Artificial Intelligence Machine Learning Software Development Computing Data science
  1. OpenAI's new model, o1, is not AGI; it's just another step in AI development that might not lead us closer to true general intelligence.
  2. AGI should have consistent intelligence across tasks, unlike current AI, which can sometimes perform poorly on simple tasks and excel on complex ones.
  3. As we approach AGI, we might feel smaller or less significant, reflecting how humans will react to advanced AI like o1, even if it isn’t AGI itself.

OpenAI Announces o1 Model And ChatGPT Pro ($200/Mo)

The Algorithmic Bridge • 329 implied HN points • 05 Dec 24
🕹 Technology AI Models Machine Learning Software Development Data science Innovation
  1. OpenAI has launched a new AI model called o1, which is designed to think and reason better than previous models. It can now solve questions more accurately and is faster at responding to simpler problems.
  2. ChatGPT Pro is a new subscription tier that costs $200 a month. It provides unlimited access to advanced models and special features, although it might not be worth it for average users.
  3. o1 is not just focused on math and coding; it's also designed for everyday tasks like writing. OpenAI claims it's safer and more compliant with their policies than earlier models.

Measuring developer productivity: A clear-eyed view

Engineering Enablement • 21 implied HN points • 05 Feb 25
🕹 Technology Software Development Developer Experience Productivity Metrics Engineering Management Data Analysis
  1. Metrics for developers should help improve their work experience, not just measure their output. Goodhart's Law reminds us that once metrics are tied to rewards, they can become misleading.
  2. Developer experience is more about effectiveness than happiness. Measuring how developers feel needs to focus on the frustrations they face, and not just on making them comfortable.
  3. Using benchmarks is important but context is key. Just like medical tests, numbers need interpretation to make sense; comparing different teams requires understanding their unique challenges.

Make YouTube Better.

Elizabeth Laraki • 199 implied HN points • 01 Aug 24
🕹 Technology User Experience Product Design Tech Innovation Software Development Digital Media
  1. User experience research can be simple and effective. Instead of fancy tools, talking to users directly can lead to big insights.
  2. Removing unnecessary features is crucial. Complex products can confuse users, so it's often better to simplify than to add more.
  3. Observing real user behavior offers valuable lessons. Understanding how people interact with a product can guide meaningful improvements.

#97 — OAI will have the best coder by year end, Society-as-a-service and DOM's native state preserving move API and more

The Nibble • 7 implied HN points • 13 Feb 25
🕹 Technology Artificial Intelligence Software Development Quantum Computing Programming Mobile Apps
  1. OpenAI is working hard to develop a coding model that's expected to be the best by year end, potentially transforming how coding tasks are approached.
  2. There is a new trend emerging called 'Society-as-a-service,' which could change how communities are built and managed.
  3. A new feature in web development allows elements to be moved in a document without losing their state, making user interactions smoother.

Podcast guest appearance

Minimal Modeling • 202 implied HN points • 23 Dec 24
🕹 Technology Software Development Database Design Data Management Programming
  1. The podcast discussed database design and Minimal Modeling for almost two hours. It shared valuable insights on how to create better database structures.
  2. The speaker is open to appearing on other podcasts and is willing to talk about topics like data documentation and software development processes.
  3. There's a recent podcast episode available, but it is in Russian, limiting its audience. If you need help with databases, the speaker is approachable.

Security by design is hard

Frankly Speaking • 355 implied HN points • 10 Nov 24
🕹 Technology Cybersecurity Product Design Software Development Startups Tech Trends
  1. Security by design is a good idea but hard to implement. Most companies prioritize speed over security, treating security as an afterthought.
  2. Many existing cybersecurity solutions focus on adding security measures after a product is built instead of integrating it from the start.
  3. Tools like Pangea help address security issues early in product development, making it easier for developers to implement security as they build.

Twitter is dead and Threads is thriving

Platformer • 3262 implied HN points • 27 Oct 23
🕹 Technology Social media Tech industry Digital Content Artificial Intelligence Software Development
  1. Twitter underwent significant changes after Elon Musk's takeover, leading to a decline in daily users and financial setbacks.
  2. Musk's plan to pivot Twitter towards paid subscriptions failed, with less than 1% of users signing up for the premium service.
  3. Former Twitter employees have accepted the company's demise, with concerns about the future of the platform integrity at X.

LLMs Know More Than What They Say

LLMs for Engineers • 120 HN points • 15 Aug 24
🕹 Technology AI Machine Learning Data science Software Development Computing
  1. Using latent space techniques can improve the accuracy of evaluations for AI applications without requiring a lot of human feedback. This approach saves time and resources.
  2. Latent space readout (LSR) helps in detecting issues like hallucinations in AI outputs by allowing users to adjust the sensitivity of detection. This means it can catch more errors if needed, even if that results in some false alarms.
  3. Creating customized evaluation rubrics for AI applications is essential. By gathering targeted feedback from users, developers can create more effective evaluation systems that align with specific needs.

OpenAI Sora Turbo: A Very Expensive Slot Machine

The Algorithmic Bridge • 254 implied HN points • 10 Dec 24
🕹 Technology AI Models Software Development Digital Media Tech industry Innovations
  1. Sora Turbo is a new AI video model from OpenAI that is faster than the original version but may not be better. Some early users are unhappy with the rushed release.
  2. This model has trouble with physical consistency, which means the videos often don't look realistic. Critics argue it still has a long way to go in recreating reality.
  3. Sora Turbo is just the beginning of video AI technology. Early versions may seem lacking, but improvements will come with future updates, so it's important to stay curious.

OLMo 2 and building effective teams for training language models

Democratizing Automation • 245 implied HN points • 26 Nov 24
🕹 Technology AI Machine Learning Software Development Data science Open Source
  1. Effective language model training needs attention to detail and technical skills. Small issues can have complex causes that require deep understanding to fix.
  2. As teams grow, strong management becomes essential. Good managers can prioritize the right tasks and keep everyone on track for better outcomes.
  3. Long-term improvements in language models come from consistent effort. It’s important to avoid getting distracted by short-term goals and instead focus on sustainable progress.

Python Data Engineering, July 2024

Monthly Python Data Engineering • 179 implied HN points • 25 Jul 24
🕹 Technology Software Development Data Engineering Open Source Programming Languages Data science
  1. The Python Data Engineering newsletter focuses on key updates and tools for building data engineering projects, rather than just data science.
  2. This month showcased rapid development in projects like Narwhals and Polars, with Narwhals making 26 releases and Polars reaching version 1.0.0.
  3. Several other libraries, such as Great Tables and Dask, also had important updates, making it a busy month for Python data engineering tools.

#101 - How AI Is Supercharging the Demand for Product Managers

The Product Channel By Sid Saladi • 23 implied HN points • 09 Feb 25
💼 Business Product Management AI Impact Software Development Market Trends
  1. AI is changing how software is developed, making coding faster and easier. This shift requires more skilled product managers who can focus on what to build rather than just how to build it.
  2. Product managers are becoming key players as products get more complicated. They need to manage different technologies and ensure that everything works well together to meet user needs.
  3. As AI tools handle more routine tasks, product managers will have a bigger role in driving innovation and defining new products, ensuring that technology advancements translate into meaningful solutions.

Apache Kafka - Producer

VuTrinh. • 199 implied HN points • 20 Jul 24
🕹 Technology Data Engineering Software Development Cloud Computing Distributed Systems Real-Time Processing
  1. Kafka producers are responsible for sending messages to servers. They prepare the messages, choose where to send them, and then actually send them to the Kafka brokers.
  2. There are different ways to send messages: fire-and-forget, synchronous, and asynchronous. Each method has its pros and cons, depending on whether you want speed or reliability.
  3. Producers can control message acknowledgment with the 'acks' parameter to determine when a message is considered successfully sent. This parameter affects data safety, with options that range from no acknowledgment to full confirmation from all replicas.

You can take your gold and shove it...

davidj.substack • 59 implied HN points • 13 Jan 25
🕹 Technology Data architecture Data processing Analytics Data Models Software Development
  1. The gold layer in data architecture has drawbacks, including the loss of information and inflexibility for users. This means important data could be missing, and making changes is hard.
  2. Universal semantic layers offer a better solution by allowing users to request data in plain language without complicated queries. This makes data use easier and more accessible for everyone.
  3. Switching from a gold layer to a semantic layer can improve efficiency and user experience, as it avoids the rigid structure of the gold layer and adapts to user needs more effectively.

System Design: Feature Flag

The ZenMode • 42 implied HN points • 24 Jan 25
🕹 Technology System Design Software Development Data Storage API design
  1. Feature flags allow you to turn app features on or off without changing the code. This is like having a light switch for each feature, making it easy to manage them.
  2. Different types of feature flags help with various tasks, like rolling out incomplete features or testing new ideas with users. This way, you can learn what works best before a full launch.
  3. Building a feature flag system requires a control service, a way to store the flags, and an interface to access them in your app. This helps keep everything organized and responsive.

Data Science Weekly - Issue 530

Data Science Weekly Newsletter • 1418 implied HN points • 19 Jan 24
🕹 Technology Data science Machine Learning Artificial Intelligence Data Visualization Software Development
  1. Good data visualization is important. Some types of graphs can be misleading, and it's better to avoid them.
  2. In healthcare, it's not just about having advanced technology like AI. The real focus should be on getting effective results from these technologies.
  3. Netflix released a lot of data about what people watched in 2023. Analyzing this can help us understand trends in streaming better.

The History and Evolution of Open Table Formats - Part II

Practical Data Engineering Substack • 79 implied HN points • 18 Aug 24
🕹 Technology Data Management Software Development Open Source Cloud Computing Database Systems
  1. The evolution of open table formats has improved how we manage data by introducing log-oriented designs. These designs help us keep track of data changes and make data management more efficient.
  2. Modern open table formats like Apache Hudi and Delta Lake offer database-like features on data lakes, ensuring data integrity and allowing for easier updates and querying.
  3. New projects are working on creating a unified table format that can work with different technologies. This means that in the future, switching between data formats could be simpler and more streamlined.

Shoggoth

Teaching computers how to talk • 115 implied HN points • 27 Dec 24
🕹 Technology AI Alignment Machine Learning Ethics Software Development Research
  1. Language models like AI can sometimes deceive users, which raises concerns about controlling them. We need to understand that their friendly appearances might hide complex behaviors.
  2. The Shoggoth meme is a powerful way to highlight how we view AI. Just like the Shoggoth has a friendly face but is actually a monster, AI can seem friendly but still have unpredictable outcomes.
  3. We need more research to understand AI better. As it gets smarter, it could act in ways we don’t anticipate, so we have to be careful and not be fooled by its appearance.

What Really Killed Stack Overflow? (Spoiler: Not AI)

ppdispatch • 5 implied HN points • 03 Jun 25
🕹 Technology Software Development Artificial Intelligence Digital Tools Community Dynamics Programming Languages
  1. The decline of Stack Overflow wasn't caused by AI but rather by a loss of community spirit and strict moderation rules. Many users felt unwelcome due to the site's increased focus on quality control.
  2. A new algorithm has greatly improved how we find the shortest paths on graphs, making it more efficient at solving these problems without needing to sort all the data.
  3. Java, despite being seen as old-fashioned and less exciting, remains crucial in software development, proving its reliability and versatility over the past 30 years.

TTW Extra #6 🔥: All Java talks of 2024 so far...

Tech Talks Weekly • 198 implied HN points • 03 Aug 24
🕹 Technology Software Development Programming Languages Conferences Java Developer Tools
  1. There are many Java talks happening at conferences in 2024, covering various topics. It's a great way to learn about the latest trends and practices in Java development.
  2. Some of the most popular talks include topics like Test-Driven Development and Domain-Driven Design. These subjects are important for improving coding practices and software architecture.
  3. Watching these talks can help developers stay updated and reduce the fear of missing out on new technologies and methods in the Java community.

When, why, and how to stop coding as your day job

It Depends / Nimble Autonomy • 11 HN points • 22 Sep 24
🕹 Technology Software Development Management Career growth Leadership Technical Skills
  1. Stepping away from coding allows you to focus on being a more effective manager. When you stop coding, you can better support and lead your team.
  2. Many technical leaders struggle to balance coding and management, often feeling they must still code to stay relevant. However, shifting your focus to team leadership is essential for growth.
  3. To remain connected to technology, take an interest in your team's work and continue learning. You can still engage with technology without it being the main part of your job.

Should You Build a Custom Data Orchestration System? Here’s What to Consider

SeattleDataGuy’s Newsletter • 317 implied HN points • 23 Oct 24
🕹 Technology Data Engineering Software Development Automation System Architecture
  1. Building your own data orchestration system can lead to many challenges, like handling dependencies and scheduling tasks correctly. It's important to think if it's really necessary or if existing tools will work better.
  2. A custom orchestrator needs to manage various functions like logging, alerting, and integrating with other tools. Without proper features, it can become complex and hard to maintain.
  3. Before you decide to create your own solution, consider what makes it different and better than what's already available. Make sure to also think about how you’ll get people to use your new system.

Data Models, Types, or Schemas?

The API Changelog • 4 implied HN points • 14 Feb 25
🕹 Technology APIs Data Models Software Development Programming Data Management
  1. Naming things is tough, especially when it comes to defining API data. Different people use different terms like data model, data type, or schema, which can lead to confusion.
  2. A data model helps to represent and organize information, while a data type defines the kind of data values it can hold. However, people often associate data types with simple categories like strings and numbers.
  3. The term 'schema' is commonly used to describe the structure and format of API data. Many standards, like OpenAPI and GraphQL, reference schemas to clarify how to define input and output data.

Scalable Embedding based retrieval for target side value

Recommender systems • 23 implied HN points • 17 May 25
🕹 Technology Machine Learning Data science Algorithms Software Development Social Networks
  1. Scalability is key for embedding-based recommendation systems, especially when dealing with billions of users. Finding effective ways to limit the search can help manage this challenge.
  2. It’s important to deliver value not just to viewers but also to the recommended targets, as this can improve user retention. Balancing recommendations for both sides can create a better experience.
  3. Using advanced algorithms can help ensure viewers don’t get overwhelmed with too many recommendations while also making sure that every target gets the attention they need. This balance is crucial for effective recommendations.

GroupBy #42: Paypal - Scaling Kafka

VuTrinh. • 219 implied HN points • 02 Jul 24
🕹 Technology Data Engineering Software Development Cloud Computing Big Data Infrastructure
  1. PayPal operates a massive Kafka system with over 85 clusters and handles around 1.3 trillion messages daily. They manage data growth by using multiple geographical data centers for efficiency.
  2. To improve user experience and security, PayPal developed tools like the Kafka Config Service for easier broker management and added access control lists to restrict who can connect to their Kafka clusters.
  3. PayPal focuses on automation and monitoring, implementing systems to quickly patch vulnerabilities and manage topics, while also optimizing metrics to quickly identify issues with their Kafka platform.

4 Trillion Events Daily at LinkedIn

VuTrinh. • 319 implied HN points • 08 Jun 24
🕹 Technology Data Engineering Real-Time Processing Machine Learning Software Development Cloud Computing
  1. LinkedIn processes around 4 trillion events every day, using Apache Beam to unify their streaming and batch data processing. This helps them run pipelines more efficiently and save development time.
  2. By switching to Apache Beam, LinkedIn significantly improved their performance metrics. For example, one pipeline's processing time went from over 7 hours to just 25 minutes.
  3. Their anti-abuse systems became much faster with Beam, reducing the time taken to identify abusive actions from a day to just 5 minutes. This increase in efficiency greatly enhances user safety and experience.

How to handle an IT escape room

Bad Software Advice • 82 implied HN points • 06 Jan 25
🕹 Technology IT Management Software Development Organizational Behavior Problem Solving Workplace culture
  1. Working in IT can feel like being in an escape room, where you face unexpected challenges and obstacles every day.
  2. There is often tension between teams, like developers and IT, due to their different goals and priorities.
  3. To solve problems, it's important to be creative and strategic, whether by asking for help or figuring out other ways to get the job done.

Code “Smells”?

Software Design: Tidy First? • 2181 implied HN points • 03 Jul 23
🕹 Technology Programming Software Development
  1. Code that works might still be problematic if it's hard to understand or change later on.
  2. It's important for programmers to focus on writing code that not only works now but is also easy to change in the future.
  3. The analogy of 'code smells' is like food that smells bad: a warning of potential future issues in the code.