The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

AI Scraping Benchmarks

serious web3 analysis • 20 HN points • 24 Sep 24
🕹 Technology Software Development
  1. AI can make web scraping super easy by letting users scrape information in plain English instead of complicated coding. This can help many more people access scraping tools.
  2. It's important to track the costs of using AI for scraping. Choosing the right AI model can save money while still getting accurate results.
  3. Benchmarking AI scrapers based on accuracy, runtime, and cost is essential. It helps users find the best tools for their specific scraping needs.

Lets compile Linux DOOM

Deus In Machina • 36 implied HN points • 01 Feb 24
🕹 Technology Software Development
  1. Compiling the Linux DOOM source code requires setting up the source code from the id-software repository and navigating through different build methods like Make and CMake.
  2. Encountering and solving errors in the compilation process involves making adjustments to data types, structure pointers, and handling variables like errno to ensure successful building of the DOOM executable.
  3. To address color depth issues and display errors while running the DOOM game on modern systems, utilizing tools like Xephyr, setting specific environmental variables, and modifying code sections related to color maps and display resolutions becomes critical.

Debunking the Myths of AI and Product Management

Perspectives • 4 implied HN points • 31 Jul 25
🕹 Technology Software Development
  1. AI is not here to take away jobs but to help us work better. It can handle repetitive tasks so we can focus on the important stuff.
  2. Being a great product manager relies on human skills like judgment and relationship-building. AI can assist but won't replace our intuition or understanding of users.
  3. You don't need to be a tech expert to use AI. It's more about learning how to work alongside these tools effectively to enhance your productivity.

Ape to API

10-year Horizon • 19 implied HN points • 01 May 23
🕹 Technology Software Development
  1. API versions of AI tools have vast potential for software integration.
  2. Software development could shift to more implicit programming with the rise of Intelligence APIs.
  3. Tradeoffs in AI models include response time, accuracy, and the context window size.
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Episode 38: Better Built By Burkhard

burkhardstubert • 19 implied HN points • 16 Mar 23
🕹 Technology Software Development
  1. Continuous Delivery (CD) means making software ready for users quickly and consistently. It's important for teams to measure their progress with metrics to see how well they are doing.
  2. High-performance teams benefit from focusing on both stability and throughput to deliver great software. Balancing these two areas helps reduce bugs while keeping updates frequent.
  3. Setting clear goals for deployment and recovery times can lead to better software and happier customers. Fast response to issues helps retain customer trust and satisfaction.

There Are Many Roads to Machine Learning

The Palindrome • 5 implied HN points • 05 Jul 25
🕹 Technology Software Development
  1. There are many ways to get into machine learning. You don't need to follow strict rules or have a specific background.
  2. You can start with just basic math skills. High school math is enough to begin your journey in machine learning.
  3. Whether you want to be a generalist or a specialist in machine learning, both paths are valid. Choose what fits your goals best.

E1- Introduction to General AI for Product Managers 🤖

The Product Channel By Sid Saladi • 16 implied HN points • 10 Nov 24
🕹 Technology Software Development
  1. AI is changing how products are made and used. Product managers need to understand AI to stay ahead in their industry.
  2. There are many AI applications, like chatbots and recommendation systems, that can improve user experience. Learning about these tools can help product managers create better products.
  3. While AI has benefits, it also brings risks like bias and job losses. It's important for product managers to think about these issues and apply AI responsibly.

Introducing the DX Core 4

Engineering Enablement • 14 implied HN points • 10 Dec 24
🕹 Technology Software Development
  1. The DX Core 4 is a new framework that combines existing models like DORA, SPACE, and DevEx to measure developer productivity more effectively. It aims to give clear guidance on what companies should measure.
  2. This framework focuses on four main areas: speed, effectiveness, quality, and impact, each with specific metrics to help organizations understand and improve their developer processes.
  3. The DX Core 4 is intended to be transparent and helpful for developers, promoting conversations around their challenges rather than using metrics against them.

💸 The Hidden Cost of Context Switching

ppdispatch • 11 implied HN points • 11 Feb 25
🕹 Technology Software Development
  1. Frequent interruptions, even from short messages, can hurt developers' productivity a lot. It can take over 20 minutes to refocus after just one distraction.
  2. A small update to the Linux kernel can really boost data center efficiency, potentially cutting power use by 30%. This change helps manage network traffic better without needing much setup.
  3. Many math libraries don't follow floating-point standards, leading to rounding errors. This can cause big problems in areas like gaming and machine learning where precision is key.

Through Your User's Eyes

Tribal Knowledge • 19 implied HN points • 10 Jan 23
🕹 Technology Software Development
  1. Users don't see products like creators do. They focus on the problem and need the solution to be presented clearly and function well.
  2. Understanding the technical capabilities of users is crucial. Intuitive design is key, as Apple exemplifies in their products.
  3. Building with user experience in mind is essential. Software should be intuitive, especially for everyday consumers, as clunky designs are no longer tolerated.

Context matters

Sunday Letters • 59 implied HN points • 24 Oct 21
🕹 Technology Software Development
  1. Finding the right balance between short-term and long-term focus is important in building complex software. You need to address immediate issues without losing sight of broader goals.
  2. Metrics should reflect real business goals, not just vanity numbers. It's better to watch user engagement than just sales figures.
  3. Being able to switch between different contexts and focus on what's most important is a key skill for engineers and business people. Understanding where to concentrate your efforts can greatly impact success.

From Rockets to Roadmaps: An Engineer's Guide to Product Success

Dev Interrupted • 14 implied HN points • 03 Dec 24
🕹 Technology Software Development
  1. Engineers can drive product vision, leading to faster and more innovative development. This shifts the focus from just coding to solving real business problems.
  2. With AI making coding easier, engineers who understand customer needs and market trends will stand out. Their blend of technical skills and business savvy is crucial for success.
  3. Collaboration and teamwork are key in software development. It's not just about individual contributions but how teams work together to create better solutions.

AI is Racing Forward – on a Very Long Road

Am I Stronger Yet? • 15 implied HN points • 12 Nov 24
🕹 Technology Software Development
  1. AI is making rapid progress, but it is not close to achieving artificial general intelligence (AGI). Many tasks still require human capabilities, showing that there is still a long way to go.
  2. Current AIs excel at specific tasks but struggle with complex, nuanced tasks that require extensive context or emotional intelligence, like managing a classroom or writing a novel.
  3. While there are exciting advancements happening with AI, the journey towards true intelligence is more like crossing a vast ocean than a quick sprint, suggesting that there are many challenges ahead.

2024 benchmarks for the DX Core 4

Engineering Enablement • 13 implied HN points • 17 Dec 24
🕹 Technology Software Development
  1. Smaller companies are quicker at delivering work than larger ones. Tech companies with fewer than 500 developers are particularly fast, completing more tasks per week.
  2. Tech companies spend more time creating new features and have a better experience for developers compared to traditional businesses. This helps them innovate more effectively.
  3. Large traditional companies may work slower, but they often have fewer errors in their work. This makes them safer, even if they don't deliver as quickly as tech firms.

SmallCon: Free virtual conference for GenAI builders ft. Meta, DoorDash, Mistral

TheSequence • 14 implied HN points • 29 Nov 24
🕹 Technology Software Development
  1. SmallCon is a free online conference for people interested in Generative AI. It's a great opportunity to learn from experts in the field.
  2. The conference will feature talks and discussions from big companies like Meta and DoorDash. Attendees will get insights on the latest trends and technologies in AI.
  3. You can register now to save your spot and gain knowledge on building effective AI models and applications. It's a chance to learn how to make the most out of small AI models.

Why Tech Giants Are Paying Millions for AI Training Data

Intuitive AI • 19 implied HN points • 22 Aug 24
🕹 Technology Software Development
  1. Tech companies are paying a lot for training data because it helps them improve their AI models. As AI use grows, high-quality data has become very valuable.
  2. Having diverse and rich training data is crucial for AI to learn well. Just like a student needs various books to understand different subjects, AI needs various data to perform better.
  3. Quality of the data matters even more than quantity. Rich, informative data leads to better AI outcomes, which is why companies are willing to spend big bucks on it.

Inconsistency as a service

Gradient Ascendant • 13 implied HN points • 10 Dec 24
🕹 Technology Software Development
  1. Testing is really important for both hardware and software, especially when things can fail sometimes. In making chips, a lot of resources go into making sure they work properly.
  2. With AI like LLMs, you have to keep checking their outputs because they can be unpredictable. It's smart to set up a test system to know if what you're getting makes sense.
  3. We're still figuring out the best ways to test AI technology. Just like with traditional software, it will take time to develop good practices for making sure LLMs work well and reliably.

2024 DORA Report

Engineering Enablement • 15 implied HN points • 30 Oct 24
🕹 Technology Software Development
  1. Using AI tools can actually make software delivery worse, as they lead to larger code changes that are riskier. This is surprising because many people think AI would improve coding efficiency.
  2. Software delivery performance indicators are becoming more independent from each other. This year's report shows some unexpected trends, like medium performance groups having fewer failures than high performance groups.
  3. To boost productivity, companies should focus on creating user-friendly internal platforms for developers. It's important for leaders to understand their team's needs and provide clear support to improve overall performance.

Episode 36: Better Built By Burkhard

burkhardstubert • 19 implied HN points • 15 Feb 23
🕹 Technology Software Development
  1. A Continuous Delivery pipeline helps keep software always ready for release by quickly identifying problems at various stages.
  2. The workflow consists of three main stages: Commit Stage, Acceptance Stage, and System Stage, with each stage increasing confidence in the software's reliability.
  3. It's best to start building your CD pipeline now, even if it's simple, and improve it step by step as you learn.

Platform vs. DevEx teams: What’s the difference?

Engineering Enablement • 14 implied HN points • 05 Nov 24
🕹 Technology Software Development
  1. Platform teams handle a broader range of responsibilities compared to Developer Experience teams. This means they are involved in more of the underlying tech operations.
  2. Local development, source code management, and incident management are key tasks for both types of teams. These areas help developers write and deploy their code more smoothly.
  3. The name of the team can reflect its focus. Some teams prioritize overall developer support while others are more infrastructure-focused, suggesting that their approach can change based on company needs.

Episode 28: Burkhard on Qt Embedded Systems

burkhardstubert • 39 implied HN points • 04 Apr 22
🕹 Technology Software Development
  1. Burkhard is switching from a newsletter format to a blog for sharing his thoughts on Qt Embedded Systems. He believes this will help him attract more readers and focus better on his writing.
  2. There are different levels of architecture diagrams for Qt embedded systems, such as context and container levels. These diagrams help in understanding system interactions and can guide the organization of development teams.
  3. Spotify uses a unique structure for its teams, like squads and tribes, to encourage communication and collaboration. This approach helps address dependencies between teams and enhances productivity.

Issue #103

Infra Weekly Newsletter • 9 implied HN points • 20 Feb 25
🕹 Technology Software Development
  1. Hashitalks 2025 event is happening now, and you can check it out for the latest in technology.
  2. You no longer need a DynamoDB table for remote state locking in Terraform when using S3, which simplifies the process.
  3. The Infra Weekly Newsletter covers infrastructure and programming topics, providing useful updates and tutorials each week.

The Busy Trap: How to Distinguish Being Busy from Being Productive

Wisdom over Waves • 3 HN points • 06 Mar 24
🕹 Technology Software Development
  1. The bulk of a work item's lifecycle in software development is often spent waiting in queues, not in active development or QA activities, highlighting inefficiencies in the process.
  2. More planning and parallel tasks do not necessarily lead to increased productivity; streamlined processes and effective collaboration are key for true productivity.
  3. Individual busyness does not equate to team productivity; focusing on removing bottlenecks and promoting collaborative efforts leads to faster project timelines and meaningful progress.

Pascal: The language that almost took over the world part 1

Deus In Machina • 36 implied HN points • 26 Oct 23
🕹 Technology Software Development
  1. Pascal language was designed with a focus on clean and readable code, making it ideal for teaching programming.
  2. Turbo Pascal revolutionized programming by combining editing, compiling, and linking steps in one integrated environment.
  3. The decline of Pascal was due to factors like its focus on teaching, rapid advancements in computing technology, and the popularity of Unix and C programming language.

Scrum's "Product Owner" Problem

Rethinking Software • 14 HN points • 03 Oct 24
🕹 Technology Software Development
  1. Product Owners should provide information, not direct decisions. Engineers need real-time data to make informed choices, rather than just waiting for orders.
  2. Engineering teams should ask deeper questions to understand their customers and competitors better. This helps them create better solutions instead of just following a checklist.
  3. The relationship between Product Owners and Engineers should resemble a restaurant. Product Owners gather customer insights while Engineers create the dishes, allowing for better quality and innovation.

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

ppdispatch • 5 implied HN points • 03 Jun 25
🕹 Technology Software Development
  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.

Building for the Block, Not the Feed

Kathy PM • 7 implied HN points • 30 Mar 25
🕹 Technology Software Development
  1. Creating simple tools can make it easier for people to take action on local issues, like biking safety. By providing ready-to-use message templates, more people can easily express their support.
  2. Fast and focused coding can lead to impactful solutions that address specific community needs. You don't need large projects to make a difference; sometimes, small changes have a big effect.
  3. Listening to your community's needs and building tools to address them can spark meaningful conversations and connections, helping people feel more involved in local matters.

The DX Core 4 Framework

Fish Food for Thought • 11 implied HN points • 11 Dec 24
🕹 Technology Software Development
  1. The DX Core 4 Framework helps companies measure developer productivity by looking at four main areas: Speed, Effectiveness, Quality, and Impact. This balanced approach provides a complete picture of how well teams are performing.
  2. It includes a Developer Experience Index (DXI) that shows how developers feel about their work, helping identify areas for improvement. This means companies can catch issues before they become bigger problems.
  3. The framework focuses on connecting developer productivity to business goals, making it easier for all levels of the organization to understand how engineering work impacts the company's success.

Simplify your product design — borrow familiar patterns

amivora • 9 implied HN points • 30 Jan 25
🕹 Technology Software Development
  1. Making product design simple helps users feel comfortable and familiar, just like using everyday items. This means users can start using your product without needing to learn it first.
  2. Using familiar patterns in your design, like placing buttons where users expect them, makes the product easier to navigate. This creates a predictable experience, so users know what to do without guessing.
  3. Borrowing well-known interfaces can help new technologies become popular quickly. When users see something they already understand, they’re more likely to try it out without feeling overwhelmed.

2 years of building a commercial open-source company

Navaneeth’s Newsletter • 49 implied HN points • 31 Mar 23
🕹 Technology Software Development
  1. Started ToolJet as a project during home quarantine and faced challenges but received positive feedback from users.
  2. Launched ToolJet's public beta and open-sourced the codebase, gaining quick traction on ProductHunt and HackerNews.
  3. Raised VC funding for ToolJet, transitioned to ToolJet 1.0 with enhanced features, and continued building towards ToolJet 2.0 despite competition.

From Papercuts to Autopilot: The Future of Feedback

Kathy PM • 7 implied HN points • 24 Mar 25
🕹 Technology Software Development
  1. AI can help manage and interpret user feedback, making it easier to spot problems before users even notice. It could automatically suggest improvements while freeing up time for developers.
  2. There are several AI tools available now that can help teams organize customer feedback, summarize reports, and brainstorm ideas. These tools can make feedback easier to handle day-to-day.
  3. While AI will enhance the feedback process, human insight is still vital. People must interpret feedback in context and find creative solutions that AI alone cannot provide.