The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

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

It Depends / Nimble Autonomy • 11 HN points • 22 Sep 24
🕹 Technology Software Development
  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.

GroupBy #42: Paypal - Scaling Kafka

VuTrinh. • 219 implied HN points • 02 Jul 24
🕹 Technology Software Development
  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 Software Development
  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.

o1 Turns Pro

Don't Worry About the Vase • 3449 implied HN points • 10 Dec 24
🕹 Technology Software Development
  1. The o1 and o1 Pro models from OpenAI show major improvements in complex tasks like coding, math, and science. If you need help with those, the $200/month subscription could be worth it.
  2. If your work doesn't involve tricky coding or tough problems, the $20 monthly plan might be all you need. Many users are satisfied with that tier.
  3. Early reactions to o1 are mainly positive, noting it's faster and makes fewer mistakes compared to previous models. Users especially like how it handles difficult coding tasks.

Code “Smells”?

Software Design: Tidy First? • 2181 implied HN points • 03 Jul 23
🕹 Technology 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.
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3 Products That Influenced Me

Tech Ramblings • 19 implied HN points • 14 Sep 24
🕹 Technology Software Development
  1. The iPhone changed how we think about technology. It shows that controlling both hardware and software can lead to incredible innovation.
  2. Tesla focuses on making things simple and helps users learn through experiences. This approach makes the product easier to use and reduces complexity.
  3. Amazon Web Services made it quick and easy to start an online business. It built a strong foundation by allowing teams to create interconnected services, speeding up product development.

Unix Review Interviews Ted Dolotta and Heinz Lycklama from Interactive Systems Corporation (1984)

Computer Ads from the Past • 256 implied HN points • 28 Nov 25
🕹 Technology Software Development
  1. PC/IX is a faithful port of AT&T’s System III Unix to the IBM PC‑XT that keeps the System III system calls while adding PC‑friendly tools (like the INed editor and Connect) and performance tweaks such as contiguous file loading and optional 8087 floating‑point support.
  2. Because the 8088 lacks memory protection, PC/IX is sold as a single concurrent‑user, multitasking system that needs a 10 MB hard disk and ships on 19 floppies; IBM will support the product while ISC provides polished documentation and a device‑driver guide to enable extensions.
  3. ISC expects a fast growth of third‑party and ISC applications (languages like COBOL and FORTRAN, INmail/INnet/FTP, word processing and databases) and believes IBM’s marketing and support will help drive adoption and encourage vendors to port their software to PC/IX.

A Compendium on Synthetic Data Projects

Encyclopedia Autonomica • 19 implied HN points • 06 Oct 24
🕹 Technology Software Development
  1. Synthetic data is crucial for AI development. It helps create large amounts of high-quality data without privacy concerns or high costs.
  2. There are various projects focused on generating synthetic data. Tools like AgentInstruct and DataDreamer aim to create diverse datasets for training language models.
  3. Learning methods for synthetic data include using personas to create unique datasets and improving mathematical reasoning skills through specially designed datasets.

It is 2026; where were we?

zverok on lucid code • 86 implied HN points • 18 Jan 26
🕹 Technology Software Development
  1. Writing time shifted into projects like an annotated Ruby 4.0 changelog, poetry translations, and a novel, which reduced regular blog output and long series work.
  2. The technical side of AI still inspires wonder, but there is deep worry about its economic and societal impact; LLMs are likely to industrialize information work and change software development from a craft into mass production.
  3. Plans for 2026 are to keep focusing on craft‑oriented writing about "thinking in code," testing, and practical experience, favoring deeper, pragmatic topics over broad philosophical series while acknowledging time and audience constraints.

Apache Kafka - Consumer

VuTrinh. • 119 implied HN points • 27 Jul 24
🕹 Technology Software Development
  1. Kafka uses a pull model for consumers, allowing them to control the message retrieval rate. This helps consumers manage workloads without being overwhelmed.
  2. Consumer groups in Kafka let multiple consumers share the load of reading from topics, but each partition is only read by one consumer at a time for efficient processing.
  3. Kafka handles rebalancing when consumers join or leave a group. This can be done eagerly, stopping all consumers, or cooperatively, allowing ongoing consumption from unaffected partitions.

Life Update: Just Moved to SF Bay Area

clkao@substack • 99 implied HN points • 26 Aug 24
🕹 Technology Software Development
  1. The move to the Bay Area was inspired by a feeling of belonging and the need for a supportive environment for their startup, Recce.
  2. Recce aims to improve the code review process for data-centric software development, addressing new challenges in correctness and testing.
  3. The writer appreciates the help from friends during the move and looks forward to sharing more about their experiences in this new chapter.

Gemini 2.5 Pro: From 0506 to 0605

Don't Worry About the Vase • 1209 implied HN points • 18 Jun 25
🕹 Technology Software Development
  1. The new Gemini 2.5 Pro model from Google is better at coding and has improved reasoning skills, but users have mixed feelings about its personality changes.
  2. Some people think the updates focus too much on benchmarks, making the model feel less creative and more sycophantic in its responses.
  3. The price for its Flash Lite version is very affordable, making it a good option for many users, but concerns about how safe and reliable it is remain.

The Boring AI Questions That Actually Matter

Margins by Ranjan Roy and Can Duruk • 878 implied HN points • 23 Jul 25
🕹 Technology Software Development
  1. The future of AI is not just about exciting advancements, but also about who gets to control the technology. Companies like OpenAI and Google currently hold a lot of power, but open-source models could change this.
  2. Some AI models perform better than others, and we don't fully understand why. This difference in quality may come down to the talent behind the models, not just the data or hardware.
  3. Instead of worrying about extreme scenarios, the impact of AI will likely be more mundane and integrated into everyday life, similar to how air conditioning changed industries without anyone really noticing at first.

💥 Tech Talks Weekly #29

Tech Talks Weekly • 79 implied HN points • 30 Aug 24
🕹 Technology Software Development
  1. This week features new talks from 11 conferences, including GopherCon UK 2024 and PyCon US 2024. It's a great way to catch up on the latest in tech from experts in the field.
  2. The Tech Talks Weekly newsletter provides a convenient way to stay updated without the clutter of platforms like YouTube. You can watch talks at your own pace and reduce FOMO.
  3. Readers are encouraged to share the newsletter and provide feedback through a form. This helps improve the content and build a better community around technology discussions.

💥 Tech Talks Weekly #30

Tech Talks Weekly • 39 implied HN points • 19 Sep 24
🕹 Technology Software Development
  1. Tech Talks Weekly recently reached 2000 subscribers, which shows a growing interest in tech discussions and events.
  2. This issue features talks from 17 different conferences, emphasizing the variety of topics available in tech.
  3. There are special issues highlighting all JavaScript and Java talks of 2024, catering to specific interests among tech enthusiasts.

What hath AWS wrought?

Cloud Irregular • 2661 implied HN points • 10 Dec 24
🕹 Technology Software Development
  1. At this year's AWS re:Invent, there were no major new services launched, which is quite different from previous years. Instead, AWS focused on enhancing existing services and features.
  2. In the past, AWS released many new services, but many of them didn't succeed. This led to dissatisfaction within the developer community.
  3. Now, AWS seems to be concentrating on improving their core offerings. This change could help revive interest and excitement in the AWS developer community again.

Resilient Cyber Newsletter #11

Resilient Cyber • 39 implied HN points • 27 Aug 24
🕹 Technology Software Development
  1. CISOs and security leaders need to understand Directors & Officers insurance due to increasing legal troubles. Knowing how to protect themselves from litigation is becoming essential.
  2. AI is making big changes in development, as shown by Amazon's claim of saving thousands of developer years. This shows a trend towards AI taking over more coding tasks.
  3. The application security market is very complicated. It's important to grasp what tools and strategies work best to secure software without getting lost in all the technical jargon.

HN blogs -3/10/24

HackerNews blogs newsletter • 19 implied HN points • 03 Oct 24
🕹 Technology Software Development
  1. Building a personal ghostwriter can help with productivity and writing tasks. It's about creating a tool that assists you effectively.
  2. Refactoring code is important for improving software. It makes programs easier to understand and maintain, even for those who aren't programmers.
  3. AI and machine learning can benefit from powerful hardware setups. Training models on many GPUs can significantly speed up the process.

💥 Tech Talks Weekly #31

Tech Talks Weekly • 19 implied HN points • 03 Oct 24
🕹 Technology Software Development
  1. Tech Talks Weekly curates talks from various tech conferences so you can catch up on what you missed. It's a great way to stay updated on industry trends without the hassle of searching multiple platforms.
  2. The newsletter has grown significantly, indicating that many people find the content valuable. Engaging with the audience helps in tailoring future content to better meet their needs.
  3. The latest issue features a lot of new talks, making it a larger edition than usual. This includes recommendations to explore specific talks that have gained a lot of views from various conferences.

Update re: Microsoft and training data

Marcus on AI • 2766 implied HN points • 26 Nov 24
🕹 Technology Software Development
  1. Microsoft claims they don't use customer data from their applications to train AI, but it's not very clear how that works.
  2. There is confusion around the Connected Services feature, which says it analyzes data but doesn't explain how that affects AI training.
  3. People want more clear answers from Microsoft about data usage, but there hasn't been a detailed response from the company yet.

Data Science Weekly - Issue 529

Data Science Weekly Newsletter • 999 implied HN points • 12 Jan 24
🕹 Technology Software Development
  1. Using ChatGPT can help you budget better. It can track and categorize your spending easily.
  2. When coding, it's important to find a balance between moving quickly and keeping your code well-structured. This is a real challenge for many developers.
  3. Language models, like GPT-4, are becoming very advanced, but there are big philosophical questions about what that really means for intelligence and understanding.

Contra Dwarkesh on Continual Learning

Democratizing Automation • 649 implied HN points • 15 Aug 25
🕹 Technology Software Development
  1. Continual learning isn't essential for AI progress; scaling existing systems is more important. AI will evolve and improve without mimicking human learning too closely.
  2. Current language models can't learn or adapt over time like humans do, but they can still handle context effectively and improve in their capacity to process information.
  3. Better context management and new AI models in the future will bridge the gap between current capabilities and continual learning, making AI systems more adaptable and efficient.

AI #97: 4

Don't Worry About the Vase • 2419 implied HN points • 02 Jan 25
🕹 Technology Software Development
  1. AI is becoming more common in everyday tasks, helping people manage their lives better. For example, using AI to analyze mood data can lead to better mental health tips.
  2. As AI technology advances, there are concerns about job displacement. Jobs in fields like science and engineering may change significantly as AI takes over routine tasks.
  3. The shift of AI companies from non-profit to for-profit models could change how AI is developed and used. It raises questions about safety, governance, and the mission of these organizations.

Resilient Cyber Newsletter #13

Resilient Cyber • 19 implied HN points • 10 Sep 24
🕹 Technology Software Development
  1. The cybersecurity workforce is struggling with a high number of unfilled jobs, as organizations report a lack of qualified candidates. Many are misled by claims of high salaries with little experience needed.
  2. In 2024, security budgets increased modestly, but hiring for security staff has declined significantly. This stagnation in hiring indicates a complicated employment landscape in cybersecurity.
  3. The White House has released a roadmap to improve internet routing security, focusing on enhancing the Border Gateway Protocol. This aims to boost the overall safety of internet infrastructure.

Developer Productivity Metrics: Education Necessary

Software Design: Tidy First? • 2098 implied HN points • 29 Jan 25
🕹 Technology Software Development
  1. Metrics can help improve productivity, but they can also be misunderstood or misused. It's important to communicate them clearly and use them to support developers instead of pressure them.
  2. Goodhart's Law reminds us that when a measure becomes a target, it can lose its value. This means we need to be careful about how we use metrics to avoid gaming the system.
  3. It's crucial to focus on improving the developer experience, not just making them happy. Measuring effectiveness can help identify and eliminate roadblocks that slow down productivity.

LangChain Based Plan & Execute AI Agent With GPT-4o-mini

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 99 implied HN points • 26 Jul 24
🕹 Technology Software Development
  1. The Plan-and-Solve method helps break tasks into smaller steps before executing them. This makes it easier to handle complex jobs.
  2. Chain-of-Thought prompting can sometimes fail due to calculation errors and misunderstandings, but newer methods like Plan-and-Solve are designed to fix these issues.
  3. A LangChain program allows you to create an AI agent to help plan and execute tasks efficiently using the GPT-4o-mini model.

There's no silver bullet in AI

The AI Frontier • 99 implied HN points • 25 Jul 24
🕹 Technology Software Development
  1. In AI, there's no single fix that will solve all problems. Success comes from making lots of small improvements over time.
  2. Data quality is very important. If you don't start with good data, the results won't be good either.
  3. It's essential to measure changes carefully when building AI applications. Understanding what works and what doesn't can save you from costly mistakes.

GroupBy #43: Uber | Kafka - The Tiered Storage

VuTrinh. • 139 implied HN points • 09 Jul 24
🕹 Technology Software Development
  1. Uber recently introduced Kafka Tiered Storage, which allows storage and compute resources to work separately. This means you can add storage without needing to upgrade processing power.
  2. The tiered storage system has two parts: local storage for fast access and remote storage for long-term data. This setup helps manage data efficiently and keeps the local storage less cluttered.
  3. When you need older data, it can be accessed directly from the remote storage, allowing faster performance for applications that need quick access to recent messages.

When Things Are Slow, Look for Queues

Push to Prod • 59 implied HN points • 13 Aug 24
🕹 Technology Software Development
  1. When a system gets slow, it’s often because of queues. Queues help manage requests but can create delays if not handled properly.
  2. Different types of queues can slow down your system, like thread pools, connection pools, and TCP queues. Keeping these optimized can improve performance.
  3. Using thread dumps can help identify problems in your system. They can show which threads are blocked and help you fix the slowdowns.

GroupBy #44: Meta | The Data Stack

VuTrinh. • 119 implied HN points • 16 Jul 24
🕹 Technology Software Development
  1. Meta uses a complex data warehouse to manage millions of tables and keeps data only as long as it's needed. Data is organized into namespaces for efficient querying.
  2. They built tools like iData for data discovery and Scuba for real-time analytics. These tools help engineers find and analyze data quickly.
  3. Data engineers at Meta develop pipelines mainly with SQL and Python, using internal tools for orchestration and monitoring to ensure everything runs smoothly.

6 Must Have Software Engineering Templates

High Growth Engineer • 2002 implied HN points • 02 Feb 25
🕹 Technology Software Development
  1. Using templates can help software engineers write better documents quickly and effectively. They save time and improve communication.
  2. A good feedback template divides suggestions into categories, making feedback clearer and more constructive.
  3. Having a brag doc or weekly update template helps track progress and makes performance reviews easier.

Maybe AI is a regular platform shift

Generating Conversation • 163 implied HN points • 11 Dec 25
🕹 Technology Software Development
  1. AI is settling into a regular generational platform shift like cloud or mobile, so expect lots of change but not a sudden collapse of society. This means the broad fabric of daily life and institutions will largely persist even as AI reshapes industries.
  2. This is not a bear case—AI will create massive value and spawn new dominant companies, but it’s unlikely to be orders of magnitude bigger than past platform shifts. We already have plenty of capability today to build important, valuable products.
  3. Models will specialize to different human and enterprise preferences, so we’ll see many tailored models and apps rather than one universal breakthrough. That points to steady, incremental improvements and lots of product-level innovation over the next decade.

Vulnerability Exploitation in the Wild

Resilient Cyber • 79 implied HN points • 01 Aug 24
🕹 Technology Software Development
  1. The Exploit Prediction Scoring System (EPSS) helps predict how likely a software vulnerability is to be exploited. It provides a score, so organizations can focus on the vulnerabilities that really matter.
  2. Most vulnerabilities that are reported, about 94%, aren’t even exploited in real life. This means organizations waste a lot of resources on vulnerabilities that pose no threat, highlighting the importance of focusing on the ones that are actually exploited.
  3. The EPSS tool works better than older systems like the Common Vulnerability Scoring System (CVSS). It helps organizations prioritize their efforts because it brings more efficiency in vulnerability management.

GroupBy #40: Data Infrastructure at Airbnb

VuTrinh. • 179 implied HN points • 18 Jun 24
🕹 Technology Software Development
  1. Airbnb focuses on using open-source tools and contributing back to the community. This helps them build a strong and collaborative data infrastructure.
  2. Their data infrastructure prioritizes scalability and uses specific clusters for different types of jobs. This approach ensures that critical tasks run efficiently without overwhelming the system.
  3. Airbnb has improved their data processing performance significantly, reducing costs while increasing speed. This was achieved through careful planning and migration of their Hadoop clusters.

Wardriving for a place to live

Jampa’s Substack • 40 HN points • 21 Aug 24
🕹 Technology Software Development
  1. Finding a place to live in a small, low-tech city can be really challenging. There aren't many real estate options or online listings, so one might need to explore the area by driving around.
  2. Using technology like OpenStreetMaps and AI can help in identifying neighborhoods and evaluating their quality. This can save a lot of time compared to traditional methods.
  3. It's important to check the neighborhood in person, even after using tech tools. Seeing the area first-hand can give a better understanding of what to expect and help find suitable homes.

15 Times to use AI, and 5 Not to

One Useful Thing • 2226 implied HN points • 09 Dec 24
🕹 Technology Software Development
  1. AI is great for generating lots of ideas quickly. Instead of getting stuck after a few, you can use AI to come up with many different options.
  2. It's helpful to use AI when you have expertise and can easily spot mistakes. You can rely on it to assist with complex tasks without losing track of quality.
  3. However, be cautious using AI for learning or where accuracy is critical. It may shortcut your learning and sometimes make errors that are hard to notice.

OpenAI o3 Model Is a Message From the Future: Update All You Think You Know About AI

The Algorithmic Bridge • 2080 implied HN points • 20 Dec 24
🕹 Technology Software Development
  1. OpenAI's new o3 model performs exceptionally well in math, coding, and reasoning tasks. Its scores are much higher than previous models, showing it can tackle complex problems better than ever.
  2. The speed at which OpenAI developed and tested the o3 model is impressive. They managed to release this advanced version just weeks after the previous model, indicating rapid progress in AI development.
  3. O3's high performance in challenging benchmarks suggests AI capabilities are advancing faster than many anticipated. This may lead to big changes in how we understand and interact with artificial intelligence.

How does Uber handle petabytes of Spark shuffle data every day?

VuTrinh. • 159 implied HN points • 22 Jun 24
🕹 Technology Software Development
  1. Uber uses a Remote Shuffle Service (RSS) to handle large amounts of Spark shuffle data more efficiently. This means data is sent to a remote server instead of being saved on local disks during processing.
  2. By changing how data is transferred, the new system helps reduce failures and improve the lifespan of hardware. Now, servers can handle more jobs without crashing and SSDs last longer.
  3. RSS also streamlines the process for the reduce tasks, as they now only need to pull data from one server instead of multiple ones. This saves time and resources, making everything run smoother.

The ads are coming

benn.substack • 920 implied HN points • 23 May 25
🕹 Technology Software Development
  1. Companies are great at tracking what we do online to learn what we like. They use that info to sell us things, often in sneaky ways.
  2. AI is getting better at understanding our conversations and wants. This could lead to new ways for companies to target us with ads while we interact with their services.
  3. As AI improves, we might willingly share more personal data because we value the services we get in return, making it easier for companies to sell us even better-targeted advertisements.