The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Using AI: Queries, Conversations, and Projects

In My Tribe • 303 implied HN points • 11 Jun 25
🕹 Technology Software Development
  1. A conversation with AI is different from simply asking a question. You can explore topics more deeply and learn from the back-and-forth interaction.
  2. Using AI for projects is essential to becoming skilled with it. It’s like doing a group assignment, where you can create something together.
  3. Providing clear instructions and materials to AI helps it assist you better. Treating it like a partner, rather than just a tool, can lead to better results.

The Rise Of Application Security Posture Management (ASPM) Platforms

Resilient Cyber • 119 implied HN points • 25 Apr 24
🕹 Technology Software Development
  1. Application security is becoming more complicated as software development grows, making it hard for teams to keep track of security issues. It's important for teams to have a clear view of application security to effectively manage vulnerabilities.
  2. ASPM platforms are designed to help organizations manage application security more efficiently by combining tools and workflows. They enable teams to see security risks clearly and respond quickly to issues without overwhelming them with alerts.
  3. The integration of security into the development process, known as DevSecOps, aims to reduce vulnerabilities and improve collaboration among teams. With ASPM, businesses can connect security efforts across different stages of software development for better protection.

Gemini 3 and Google’s Antigravity Trajectory

Artificial Ignorance • 71 implied HN points • 19 Nov 25
🕹 Technology Software Development
  1. Gemini 3 is Google's latest AI model, showcasing impressive improvements in coding tasks and multimodal reasoning capabilities. It can analyze videos and generate user interfaces quite effectively.
  2. Google has launched Antigravity, a new IDE that emphasizes agentic coding, allowing developers to manage AI agents for coding tasks. It aims to enhance productivity by reducing the hands-on coding time required from developers.
  3. The competitive landscape in AI coding tools is evolving, with Google positioning itself strongly against rivals like Anthropic and OpenAI, emphasizing how agent-driven development could reshape the software industry.

My Journey into Personal Computer Software Development in 1983

Farrs’s Substack • 125 HN points • 20 Apr 24
🕹 Technology Software Development
  1. Personal Computers were gaining popularity in 1983, despite being considered toys by some programmers, and had promising applications developed for them.
  2. Taking a risk to work in Personal Computer Software Development led to a successful job offer and opportunity to solve a challenging memory limitation issue.
  3. Facing skepticism and disrespect at the company, the individual showcased exceptional bug-solving abilities, but ultimately chose to leave due to being labeled unfairly.

A metrics layer is like your New Year's resolution…

HyperArc • 39 implied HN points • 11 Jul 24
🕹 Technology Software Development
  1. A metrics layer helps standardize how companies measure data, making it easier for everyone to understand what is important. It can automate calculations, like rolling averages, which saves time and reduces confusion.
  2. Traditional business intelligence tools often lose useful underlying information, which makes it hard to understand how certain metrics were created. More context is needed to ensure decisions are well-informed and based on complete data.
  3. HyperArc offers a solution by capturing the team's insights and reasoning during analysis. It helps keep track of not just the final metrics, but also the thought process behind them, making it easier to revisit and understand decisions in the future.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Under the microscope: Urban Chaos (Dreamcast)

Rings of Saturn • 58 implied HN points • 29 Nov 25
🕹 Technology Software Development
  1. The Dreamcast build has hidden "fast cheats" you unlock by holding L+R and entering a specific button sequence (stored backwards as "Y R R A B Y R R A B"). Once enabled, hold L+R+Start and press Up/Down/Left/Right to restore health, spawn guns, spawn ammo, or show the character's position.
  2. There are several other in-game codes: one (A,B,X,Y) shows a silly message, another completes the current stage, and another toggles draw distance which you adjust with the analog stick. A few strings referenced in the source (like LARALARA and BLADDUR) are present in code but don’t work in the final release.
  3. Access to the game's source code (and simple reverse-engineering) is what revealed these cheats and how they operate. The PlayStation version doesn’t appear to include the same in-game cheats, though it does have a separate "all levels" cheat available from the menu and shown in source snapshots.

✨ While tech CEOs talk up AGI imminence, real-world AI use cases emerge

Faster, Please! • 639 implied HN points • 06 Jan 25
🕹 Technology Software Development
  1. In a few years, we might see AI agents start working alongside humans, which could really change how companies function.
  2. Tech leaders believe that powerful AI could lead to huge advances in science and medicine, speeding up progress significantly.
  3. While there is excitement about AI's potential, it's also important to manage the risks to make sure it benefits everyone.

7 Lessons I Learned the Hard Way From 9+ Years as a Data Engineer

SeattleDataGuy’s Newsletter • 730 implied HN points • 21 Nov 24
🕹 Technology Software Development
  1. It's important to avoid building complex systems just for the sake of it. Focus on creating infrastructure that actually helps your team and the business.
  2. If you don’t plan your data model, you’ll end up with a messy one. Always take the time to design it properly to make future work easier.
  3. Good communication is really powerful. Being able to share your ideas clearly can help you get support and make a bigger impact in your projects.

Data Science Weekly - Issue 523

Data Science Weekly Newsletter • 339 implied HN points • 01 Dec 23
🕹 Technology Software Development
  1. Data science is evolving quickly, and it's important to stay updated with new advances and tools. Courses and reading lists can help you catch up and enhance your skills.
  2. Using machine learning to solve real-world problems, like correctly attributing quotes, shows the practical applications of data science. Collaboration between universities and organizations can lead to innovative solutions.
  3. The job market for data scientists is challenging right now. Many applicants are competing for limited positions, so if you're looking for a job, patience is key.

You can't teach someone to swim when they're drowning

Resilient Cyber • 119 implied HN points • 16 Apr 24
🕹 Technology Software Development
  1. It's important to build software with security in mind from the start, rather than trying to add it in later. This 'Secure-by-Design' approach can prevent many issues down the line.
  2. Software suppliers should take responsibility for the security of their products, as their decisions affect a lot of users. Customers shouldn't always have to 'patch and fix' flawed products themselves.
  3. The rapid growth of known software vulnerabilities is overwhelming for organizations. Instead of just telling them to fix everything quickly, we should push for better, more secure products from the beginning.

How much effort is it to create software?

Bite code! • 1590 implied HN points • 06 Mar 24
🕹 Technology Software Development
  1. Creating software has become easier due to resources and tools available, but it still requires dedication, time, and energy.
  2. Writing software demands perseverance and continuous learning, akin to mastering a musical instrument or a sport.
  3. Working on software involves dealing with humans, extracting requirements, navigating social dynamics, and recognizing the importance of human interaction in the development process.

Rethinking Problem-Solving: From Space Pens to Pencils and Beyond

Wisdom over Waves • 79 implied HN points • 21 May 24
🕹 Technology Software Development
  1. Focus on the problem first: Understand the core issue before jumping into solutions. This can lead to more innovative and effective outcomes.
  2. Avoid getting lost in the technical details: Developers should balance focusing on implementation with considering broader business needs and goals.
  3. Collaborate and empathize: Work closely with other teams, seek feedback, and put yourself in the shoes of the end user to improve problem-solving and innovation.

GroupBy #39: 2000+ DBT models in airflow; Serverless Jupyter Notebooks at Meta

VuTrinh. • 59 implied HN points • 11 Jun 24
🕹 Technology Software Development
  1. Meta has developed a serverless Jupyter Notebook platform that runs directly in web browsers, making data analysis more accessible.
  2. Airflow is being used to manage over 2000 DBT models, which helps teams create and maintain their own data models effectively.
  3. Building a data platform from scratch can be a valuable learning experience, revealing important lessons about data structure and management.

Embedded Online Conference 2024: My Summary

burkhardstubert • 79 implied HN points • 20 May 24
🕹 Technology Software Development
  1. Using a top-down approach in software development helps avoid costly mistakes by getting early feedback from customers. It also reduces the blame on software developers when hardware is late.
  2. AI and machine learning can greatly boost productivity in embedded systems by automating repetitive tasks. They can help with coding, documentation, and even testing, making development smoother.
  3. Integrating open source components into embedded systems needs thorough safety analysis. A system bill of materials (SysBoM) helps track interactions and dependencies, ensuring safety and reliability.

✨🎄 Some AGI optimism: an early Xmas present

Faster, Please! • 639 implied HN points • 23 Dec 24
🕹 Technology Software Development
  1. OpenAI has released a new AI model called o3, which is designed to improve skills in math, science, and programming. This could help advance research in various scientific fields.
  2. The o3 model performs much better than the previous model, o1, and other AI systems on important tests. This shows significant progress in AI performance.
  3. There's a feeling of optimism about AGI technology as these advancements might bring us closer to achieving more intelligent and capable AI systems.

Data security should be making a comeback

Frankly Speaking • 254 implied HN points • 10 Jun 25
🕹 Technology Software Development
  1. Data security needs a fresh look because the way we use and manage data has changed a lot. With new technologies, protecting data is more complicated now.
  2. Current tools often struggle with identifying what data is sensitive and how to handle it properly. We need better solutions that help organizations use their data wisely while keeping it safe.
  3. Companies must rethink how they approach data risk. Creating clear guidelines on how data can be used could help in managing security while still allowing businesses to benefit from their data.

Last Call for Quality

QUALITY BOSS • 39 implied HN points • 03 Jul 24
🕹 Technology Software Development
  1. Testing software too late can lead to more expensive and difficult fixes. It's better to catch bugs earlier in the development process.
  2. Many teams rely too much on manual testing, which can slow things down. A mix of automated and manual testing can improve quality and efficiency.
  3. Ignoring non-functional requirements like security and performance can make software unsatisfactory, even if it meets basic needs. It's important to include these factors in testing plans.

Hijacking Claude Code via Injected Marketplace Plugins

PromptArmor Blog • 92 implied HN points • 16 Oct 25
🕹 Technology Software Development
  1. Malicious plugins can bypass safety protections in Claude Code, allowing attackers to control how commands are executed. This means users might unknowingly enable harmful actions just by installing plugins.
  2. Through clever coding, attackers can use hooks to manipulate permissions. For example, they can automatically approve dangerous commands without the user's consent.
  3. Once a malicious plugin is installed, it can send sensitive user data back to the attacker, making it crucial for users to be careful about what marketplaces and plugins they choose to trust.

Digging into the OWASP AI Exchange

Resilient Cyber • 239 implied HN points • 10 Jan 24
🕹 Technology Software Development
  1. OWASP AI Exchange is a valuable resource for understanding AI security risks and sharing knowledge. It helps organizations learn how to protect themselves against threats in AI systems.
  2. The AI Exchange provides guidelines for managing AI security throughout its development and use. Companies can adopt controls to mitigate risks associated with data leaks, manipulation, and insecure outputs.
  3. Practitioners are advised to incorporate standard security practices from app security into AI systems. Regular monitoring and using tools like threat modeling are essential for maintaining safety in AI usage.

In the land of LLMs, can we do better mock data generation?

Neurelo Engineering’s Substack • 1 HN point • 27 Sep 24
🕹 Technology Software Development
  1. Mock data is super useful for testing software, but it hasn't really improved much over the years. It needs to be more flexible and easier to generate high-quality data.
  2. Using LLMs (large language models) can be tricky for creating mock data. Instead of trying to generate everything, it’s often better to use techniques like topological sorting to keep relationships correct between data entries.
  3. A new approach is turning to strategies like the Genesis Point Strategy, which helps create unique mock data efficiently. It shows that you can simplify processes to get good results without overcomplicating things.

My Wronggest Content

Jacob’s Tech Tavern • 656 implied HN points • 26 Nov 24
🕹 Technology Software Development
  1. Posting wrong code online can lead to getting helpful feedback from others. Sometimes people are quick to point out mistakes, but that can help you learn.
  2. Using social media regularly can grow your audience. Posting interesting and engaging content helps attract more subscribers.
  3. Accepting criticism is important. It can be tough to hear people say your work is bad, but it's a chance to improve and grow.

OpenAI's Open Source Strategy

Enterprise AI Trends • 168 implied HN points • 06 Aug 25
🕹 Technology Software Development
  1. OpenAI has released two new open-weight models called gpt-oss-120b and gpt-oss-20b. This means people can run these powerful models on their own computers without needing an internet connection.
  2. The gpt-oss-120b model is very cost-effective and performs well, even better than some existing models, making advanced AI more accessible.
  3. It's been six years since OpenAI released an open weight model, so this move shows they are serious about reclaiming their position in the open-source AI community.

MILKEN INSTITUTE REVIEW: Behind the Hype: What "AI" Is & Isn't

Brad DeLong's Grasping Reality • 176 implied HN points • 24 Jul 25
🕹 Technology Software Development
  1. AI is reshaping jobs and how companies operate, especially in Silicon Valley where big players are fighting for profit. It's changing the game of technology investment and control.
  2. Investors need to carefully consider whether they're joining a genuine revolution or just chasing another tech bubble like cryptocurrency. Understanding the real nature of AI is crucial.
  3. AI is really about complex models that process information, not the magical intelligence people often hype it up to be. There’s a big difference between the promise of AI and what it can actually do right now.

A Pain in the Plate Maps

Briefly Bio • 198 implied HN points • 23 Feb 24
🕹 Technology Software Development
  1. Creating 96-well plate maps is important for organizing samples and tracking metadata during scientific experiments. This helps scientists during pipetting and later data analysis.
  2. Current methods for making plate maps, like using spreadsheets, can be clunky and error-prone as they often require managing multiple tables that are not linked.
  3. A new visual plate mapper allows for easy creation and editing of plate maps. It synchronizes the visual layout with a data table, making it simpler to manage and analyze experiment data.

Historically, 4NF explanations are needlessly confusing

Minimal Modeling • 608 implied HN points • 05 Dec 24
🕹 Technology Software Development
  1. Fourth Normal Form (4NF) is mainly about creating simple two-column tables to link related data, like teachers and their skills. This straightforward design is often overlooked in favor of complex definitions.
  2. Many explanations of 4NF start with confusing three-column tables and then break them down into simpler forms. This approach makes it harder for learners to grasp the concept quickly and effectively.
  3. The term 'multivalued dependency' can be simplified to just mean a list of unique IDs. You don’t really need to focus on this term to design good database tables; it's more of a historical detail.

Crafting something beautiful ♥️

André Casal's Substack • 19 implied HN points • 01 Aug 24
🕹 Technology Software Development
  1. Improving customer access made it easier for users to start using LaunchFast. Instead of multiple steps, they can now just run one command.
  2. A conversation with Neeraj from BigBinary led to important changes in pricing and marketing strategy for LaunchFast. These adjustments should help clarify its value and appeal more to potential users.
  3. Learning about deploying an NPM package simplified the process of launching LaunchFast. This helped create an efficient script that sets everything up quickly.

Infinite Context Length 🤯

Sector 6 | The Newsletter of AIM • 99 implied HN points • 18 Apr 24
🕹 Technology Software Development
  1. Meta has introduced MEGALODON, a new neural architecture that allows for infinite context length in AI, making it more efficient than previous models.
  2. With developments from Microsoft, Google, and Meta, the focus will shift away from which model has the highest context length, as all will likely have infinite capabilities soon.
  3. The upcoming Llama-3 model is expected to continue this trend by also supporting infinite context length, enhancing its utility in various applications.

Generative UI from Gemini 3 Pro

Jakob Nielsen on UX • 56 implied HN points • 19 Nov 25
🕹 Technology Software Development
  1. Google's new Gemini 3 Pro creates user interfaces that are tailored specifically to individuals. This 'Generative UI' means that users can get exactly what they need when they need it.
  2. In user testing, people preferred the AI-generated interfaces over traditional website designs about 90% of the time. This shows how much easier and more effective these personalized interfaces can be compared to regular sites.
  3. Even though human designers still have a slight edge in quality, AI is improving rapidly. It's likely that in just a couple of years, AI will become better than humans at creating effective user interfaces.

GPTs Are Maxed Out

The Algorithmic Bridge • 647 implied HN points • 11 Nov 24
🕹 Technology Software Development
  1. AI companies are hitting limits with current models. Simply making AI bigger isn't creating better results like it used to.
  2. The upcoming models, like Orion, may not meet the high expectations set by previous versions. Users want more dramatic improvements and are getting frustrated.
  3. A new approach in AI may focus on real-time thinking, allowing models to give better answers by taking a bit more time, though this could test users' patience.

GroupBy #37: Composable data management at Meta, How Uber Accomplishes Job Counting At Scale

VuTrinh. • 59 implied HN points • 28 May 24
🕹 Technology Software Development
  1. When learning something new, it's good to start by asking yourself why you want to learn it. This helps set clear goals and expectations.
  2. Focusing on one topic at a time can make learning easier. Instead of spreading your time thin, dive deep into one subject.
  3. It's okay to feel stuck sometimes while learning. Just keep pushing through, relax, and remember that learning is a journey that takes time.

Reflections on 2024 and Exciting Plans for 2025

Confessions of a Code Addict • 529 implied HN points • 18 Dec 24
🕹 Technology Software Development
  1. The community grew a lot in 2024, from 4,212 to about 9,380 readers. This shows that more people are enjoying the content and getting involved.
  2. There will be new perks for paid subscribers in 2025. This includes early access to articles and a new series sharing resources and interesting materials.
  3. Upcoming live sessions will include interactive discussions on research papers. This will help everyone understand complex topics better together.

I Was Wrong About Scrum, Again

Rethinking Software • 549 implied HN points • 30 Nov 24
🕹 Technology Software Development
  1. Sprints can feel non-stop and stressful since they don't have breaks, which can lead to burnout. It's suggested that a 'sustainable pace' would help, but taking real breaks might be a simpler solution.
  2. Daily stand-ups can make team members feel pressured to justify their work constantly. However, the intent behind them is not for status updates but to facilitate communication and support.
  3. The role of a Product Owner in Scrum can leave developers feeling sidelined. Developers may worry that their insights are overlooked, but it’s believed that good Product Owners will always prioritize the development team's needs.

Data Science Weekly - Issue 509

Data Science Weekly Newsletter • 399 implied HN points • 25 Aug 23
🕹 Technology Software Development
  1. Each week, a newsletter shares important links and articles about data science, machine learning, and AI. It's a good way to keep updated on new happenings in the field.
  2. The newsletter features articles on various topics, including programming, AI forecasting, and data management practices. These articles are meant to help both newcomers and experienced professionals.
  3. Job listings and training resources are also provided, helping readers find opportunities and learn new skills beneficial for their careers in data science.

The DBIR is entering its Vulnerability Era

Resilient Cyber • 79 implied HN points • 03 May 24
🕹 Technology Software Development
  1. Vulnerability exploitation is growing rapidly, with a 180% increase reported. This means more cyber attackers are taking advantage of software weaknesses.
  2. Organizations are struggling to keep up with vulnerability management. Simply telling them to patch faster isn't enough; they need better strategies to reduce the number of vulnerabilities.
  3. The push for 'Secure-by-Design' software is getting stronger. This approach encourages companies to take responsibility for their products' security, making them safer for everyone.

The Tale of Two Teams

Software Design: Tidy First? • 1281 implied HN points • 19 Feb 24
💼 Business Software Development
  1. Software development teams can take two different paths over time - one struggling to maintain progress and innovate, the other accelerating and exceeding expectations.
  2. Executives play a crucial role in steering teams towards successful software development by fostering a culture of continual improvement, tidy code, automation, and collaboration.
  3. Understanding software design fundamentals as an executive can help diagnose ineffective teams, bridge communication gaps between business and technology, and inspire innovation and excellence.

Report: OpenAI Spends Millions a Year Miscounting the R's in 'Strawberry'

The Algorithmic Bridge • 573 implied HN points • 22 Nov 24
🕹 Technology Software Development
  1. OpenAI has spent a lot of money trying to fix an issue with counting the letter R in the word 'strawberry.' This problem has caused a lot of confusion among users.
  2. The CEO of OpenAI thinks the problem is silly but feels it's important to address because users are concerned. They are also looking into redesigning how their models handle letter counting.
  3. Some employees joked about extreme solutions like eliminating red fruits to avoid the R issue. They are also thinking of patches to improve letter counting, but it's clear they have more work to do.

NIST's "Strategies for Integration of Software Supply Chain Security in DevSecOps CI/CD Pipelines"

Resilient Cyber • 159 implied HN points • 13 Feb 24
🕹 Technology Software Development
  1. Software supply chain attacks are on the rise, so companies need to protect their processes from potential risks. Understanding these threats is key for organizations that rely on software.
  2. NIST provides guidelines to help organizations improve their software security in DevSecOps environments. By following their advice, companies can ensure that their software development processes are safe from compromise.
  3. Implementing zero-trust principles and automating security checks during software development can greatly reduce the risk of attacks. This means controlling access and regularly checking for vulnerabilities throughout the development cycle.

Unlocking the Future of Efficient AI Model Deployment

Gradient Flow • 339 implied HN points • 07 Sep 23
🕹 Technology Software Development
  1. Deep learning plays a key role in various industries, from healthcare to finance, with applications like computer vision and natural language processing being pervasive.
  2. Efficient AI model deployment involves crucial stages of model development, including domain-specific model refinement, and model optimization to ensure lightweight and fast models compatible with target hardware.
  3. Tools like Ivy are emerging to streamline the deployment of trained models, optimizing them for real-world use through techniques like enhanced graph representations, operator fusion, and quantization.

SpatialBench: real world tasks for spatial agents

LatchBio • 54 implied HN points • 13 Nov 25
🕹 Technology Software Development
  1. SpatialBench offers a set of 98 evaluation packs to measure how well spatial agents perform on real tasks, helping to compare different technologies effectively.
  2. The evaluations are designed from actual tasks scientists face, making them useful to assess real-world analysis abilities in biology.
  3. There's a need for specialized tools and resources in biology since standard coding methods don’t easily translate to biological analysis tasks.