The hottest Software Engineering Substack posts right now

And their main takeaways
Category
Top Technology Topics

Using Single Responsibility to write amazing code [Technique Tuesday]

Technology Made Simple • 39 implied HN points • 04 May 22
🕹 Technology Software Engineering
  1. The Single Responsibility Principle in software engineering emphasizes that classes and modules should have only one distinct responsibility. This helps in making code easier to maintain and understand.
  2. Implementing the Single Responsibility Principle can lead to benefits such as easier code changes, simplified debugging, and smoother testing processes.
  3. In coding interviews, applying Single Responsibility by breaking down complex problems into smaller, focused components can help in solving questions methodically and efficiently, boosting problem-solving abilities.

What does DigitalOcean do?

Technically • 14 implied HN points • 18 Feb 25
🕹 Technology Software Engineering
  1. DigitalOcean is a service that rents out servers to developers for building web applications. It helps developers run their apps without needing their own hardware.
  2. Unlike bigger companies like AWS or Google Cloud, DigitalOcean is independent and not owned by a massive tech giant. This makes their approach more focused on users.
  3. They focus on simplicity and user experience, making it easier for developers to use their services compared to other cloud providers.

AI Roundup 057: Claude 3

Artificial Ignorance • 42 implied HN points • 08 Mar 24
🕹 Technology Software Engineering
  1. Anthropic released Claude 3, a chatbot with impressive features like a 200K token context window, vision support, and multiple language capabilities.
  2. Stability AI launched Stable Diffusion 3 with a Multimodal Diffusion Transformer architecture, showcasing advancements in foundation models.
  3. The US government's charges against a former Google engineer highlight the ongoing concerns of intellectual property theft in AI, affecting relationships and technology transfers with China.

[Video] A Brief Introduction to Kafka (with analogy)

Weekend Developer • 1 HN point • 06 Jul 24
🕹 Technology Software Engineering
  1. Kafka ensures system consistency in the microservices world by allowing events to be recorded and processed consistently even during service downtime.
  2. Kafka enables a decoupled, event-driven approach to microservices communication, providing fault tolerance and scalability as the number of services grows.
  3. The benefits of Kafka in microservices include event-driven architecture, fault tolerance, and scalability, all contributing to a reliable and consistent system.
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AI Brews • 15 implied HN points • 17 Jan 25
🕹 Technology Software Engineering
  1. AI models are getting smarter and can now adapt to different tasks on the fly. This means they can learn and improve as they go, instead of being stuck in one way of doing things.
  2. New tools for creating materials and coding have been released, allowing for faster and easier generation of complex designs and codes. This can help developers and scientists make better products more efficiently.
  3. Features like task scheduling in AI chat programs are becoming more common. This makes it easier for users to manage their tasks and get reminders, showing how AI is growing to support everyday needs.

Systems Distributed '24

Eventually Consistent • 1 HN point • 02 Jul 24
🕹 Technology Software Engineering
  1. Systems engineering is more than programming - it's about understanding complex systems and critical thinking. Engineers with systems thinking skills are becoming increasingly valuable in the industry.
  2. Developing new software abstractions can enhance developer experience and lead to concrete technological innovations. It's important to focus on improving software design patterns and solving problems on the right layers of the stack.
  3. Ensuring safe and correct software remains a significant challenge in building distributed systems. Innovative approaches to testing, such as deterministic hypervisors and model checking techniques, are crucial for uncovering hidden bugs and enhancing productivity.

The Nerdiest Possible Way to Make Sourdough

Tim's Tech Things • 2 HN points • 09 May 24
🕹 Technology Software Engineering
  1. Creating a healthy sourdough starter involves feeding it with flour and water until it's ready to use in baking, which contributes to the delicious taste and texture of the bread.
  2. Monitoring the rise of sourdough starter is crucial to ensure there are enough active yeast cells to create CO2 bubbles, which make the bread light and fluffy.
  3. Using computer vision with Python, ffmpeg, and algorithms like rolling averages and derivatives can help automate the process of determining when sourdough is ready for baking.

Stayin’ Alive

Sector 6 | The Newsletter of AIM • 19 implied HN points • 02 Feb 23
🕹 Technology Software Engineering
  1. JavaScript became popular in web development because it made websites more dynamic and interactive. This popularity helped it grow and become a dominant player in the programming world.
  2. As web applications got bigger and more complicated, people started looking for alternatives to JavaScript. The way developers were using JavaScript wasn't always the best solution for larger projects.
  3. The ongoing evolution of technology means that even popular tools like JavaScript sometimes face challenges. Developers need to adapt and find new tools to handle complex requirements efficiently.

Applying the Core 4 (Part 1)

Engineering Enablement • 12 implied HN points • 19 Jan 25
🕹 Technology Software Engineering
  1. Use a survey to gather Core 4 metrics easily. It's designed for simplicity, so anyone can set it up.
  2. Calculate your metrics by averaging survey responses for Speed, Quality, and Impact. For Effectiveness, look at the positive responses overall.
  3. Once you have your results, compare them with industry benchmarks to see how you're doing. This helps you understand your team's performance better.

2024: the year in review

The Engineering Manager • 13 implied HN points • 29 Dec 24
🕹 Technology Software Engineering
  1. Efficiency is really important now. Companies need to do more with less and find ways to be productive without hiring more people.
  2. AI tools are becoming essential. Embracing technology like LLMs can boost productivity and help engineers work smarter.
  3. There’s a generational divide. Staying updated with technology is crucial, or you risk being left behind, both personally and for your company.

Applying the Core 4 framework (Part 2)

Engineering Enablement • 11 implied HN points • 29 Jan 25
🕹 Technology Software Engineering
  1. Using Core 4 metrics helps link developer productivity projects to important business outcomes. This way, everyone can understand the impact of these projects.
  2. Investing in improving developer processes can save a lot of time and money. For example, fixing slow review times can free up hours that can be used for more productive work.
  3. Regularly measuring progress helps teams keep improving. It's important to revisit these metrics to find new areas to enhance and continue moving forward.

What's happening at the intersection of ML and Engineering.

Arkid’s Newsletter • 17 HN points • 30 Sep 24
🕹 Technology Software Engineering
  1. AI and machine learning are creating a lot of hype, but it's important to separate the noise from the real value. Just like in the dot-com boom, there will be winners, but it won't be easy to find them.
  2. Many companies are wasting money on consultants who offer little help without delivering real results. To succeed in AI, businesses need to focus on building intelligent products that can learn and iterate based on user feedback.
  3. There's concern about AI taking over jobs in software and machine learning, but skilled professionals will still be needed. It’s crucial for entry-level workers to build solid expertise in their field and adapt to new developments in AI.

AI Coding Tools (May 2025)

Anant’s Newsletter • 6 implied HN points • 12 May 25
🕹 Technology Software Engineering
  1. AI coding tools are changing how software developers work. Using these tools can make coding faster and help solve complex problems more easily.
  2. There are different types of AI tools for coding, like IDEs that assist with writing code and AI agents that can handle bigger tasks on their own. Each type serves a unique purpose in the coding process.
  3. There is a need for better tools to create personalized AI agents and improve project management. These improvements could help teams work more efficiently together.

[Solution]Problem 51:Happy Number[IBM]

Technology Made Simple • 19 implied HN points • 11 Aug 22
🕹 Technology Software Engineering
  1. A happy number is a number defined by a specific process that ends with the number 1, while an unhappy number will loop endlessly without reaching 1.
  2. When facing a problem, break down the definitions given in the problem as this can provide insights and help formulate mathematical rules for quick problem-solving.
  3. In problem-solving, looking for patterns, mathematical or algorithmic statements can give a competitive advantage and aid in solving or optimizing problems efficiently.

An Intro to Finite State Machines[Math Monday]

Technology Made Simple • 19 implied HN points • 08 Aug 22
🕹 Technology Software Engineering
  1. Finite State Machines (FSMs) are like directed graphs that help in understanding the flow of a program. Nodes represent states and edges show reachable states.
  2. FSMs are useful for filtering input based on rules and when a system is defined by a set of conditions, like in Regex applications.
  3. Mastering FSMs involves patience, practice, and hands-on coding of theoretical concepts to understand and implement them effectively.

Getting Started With Unreal Engine 5 For Developers, Part 1: Building Blocks

Load-bearing Tomato • 16 implied HN points • 21 Aug 24
🕹 Technology Software Engineering
  1. In Unreal Engine 5, Actors and Components are the main building blocks. Actors are objects in the game world, while Components add specific features to those Actors.
  2. Inheritance is a key concept in creating different types of objects. You can create child classes for specific behaviors while still sharing common features from a parent class.
  3. Functions and Events help organize code. Use Functions for reusable code and Events for actions triggered by certain events in your game.

Vesuvius Challenge is hiring!

Vesuvius Challenge • 9 implied HN points • 21 Jan 25
🕹 Technology Software Engineering
  1. The Vesuvius Challenge is looking for team members to help recover texts from ancient scrolls. They need people for two key roles: research in computer vision and platform engineering.
  2. The computer vision role focuses on using advanced tech to read the scrolls, which involves solving complex problems with CT scan data.
  3. The platform engineering role is about creating tools and systems to manage and share large datasets, making research easier for the community.

Uncertainty in machine learning deployments

Denis’s Substack • 7 HN points • 07 Jun 23
🕹 Technology Software Engineering
  1. Many machine learning projects never make it to production due to various reasons like lack of stakeholder buy-in and data quality issues.
  2. The traditional linear process of analyzing, extracting data, modeling, deploying, and operating models can be naive and not reduce uncertainty.
  3. Embracing uncertainty in machine learning deployments can involve starting the deployment phase before data extraction, leading to constant value addition throughout the process.

Update #70: Apple Shutters Autonomous EV Project and Griffin + Hawk Compete with Transformers

The Gradient • 24 implied HN points • 12 Mar 24
🕹 Technology Software Engineering
  1. Apple terminated its Project Titan autonomous electric car project and shifted focus to generative AI, impacting hundreds of employees.
  2. Challenges faced by Project Titan included leadership changes, strategic shifts, and difficulties in developing self-driving technology.
  3. Research proposes RNN-based architectures Hawk and Griffin that compete with Transformers, offering more efficiency for language models.

The Future of Programming: Copilots vs. Agents (Part I)

East Wind • 11 implied HN points • 12 Nov 24
🕹 Technology Software Engineering
  1. The competition to create better AI coding tools is intense. Companies are racing to attract developers and dominate a huge market.
  2. AI coding tools can be divided into three types: copilots, agents, and custom models. Each type has its own approach to helping programmers finish their work.
  3. User experience is very important for these tools. Small differences in how they function can greatly affect how easy they are to use.

Why "bias for action" is not good enough

The Caring Techie Newsletter • 11 implied HN points • 12 Nov 24
🕹 Technology Software Engineering
  1. Having a 'bias for action' can be good, but it's not always the right approach. Sometimes, acting without enough thought can lead to bigger problems.
  2. In situations where you don't fully understand the problem, it might be better to wait and gather more information before jumping to conclusions.
  3. Instead of rushing into decisions, take a moment to think things through. Thoughtful action can help you make better choices.

Data Science Weekly - Issue 469

Data Science Weekly Newsletter • 19 implied HN points • 17 Nov 22
🕹 Technology Software Engineering
  1. Learning machine learning can be accomplished without an engineering background. It often requires hard work, perseverance, and adopting good software engineering practices.
  2. Robotics and AI are being increasingly used in fulfillment processes at companies like Amazon. These technologies face challenges but also provide innovative solutions for package handling.
  3. Large language models are evolving to act like agents that make decisions. This shift towards action-driven models may make them resemble artificial general intelligence (AGI) more closely.

Data Science Weekly - Issue 460

Data Science Weekly Newsletter • 19 implied HN points • 15 Sep 22
🕹 Technology Software Engineering
  1. Soft skills are super important for data scientists. Being able to communicate well and work in a team can make a big difference in their effectiveness.
  2. There are great resources available online for learning data science, including live streams on platforms like Twitch. It’s a fun way to learn and engage with others.
  3. Use the right fonts and designs in data visualizations. They can greatly affect how your data is understood and appreciated.

Problem 30: Find Distance to nearest Exit[Google]

Technology Made Simple • 19 implied HN points • 24 Mar 22
🕹 Technology Software Engineering
  1. The problem involves finding the distance to the nearest exit on a 2D grid with obstacles and gates.
  2. The solution requires filling each empty room with the distance to its nearest gate, considering obstacles and walls.
  3. This question is a favorite problem asked by Google to test problem-solving skills and the ability to recognize the right approach.

Data Science Weekly - Issue 459

Data Science Weekly Newsletter • 19 implied HN points • 08 Sep 22
🕹 Technology Software Engineering
  1. Organizations need to invest in creating better data to gain an advantage over competitors. Good data can drive value and improve decision-making.
  2. The activation layer of the modern data stack helps you use data in a more impactful way. This allows for personalized experiences rather than just viewing dashboards.
  3. Using standard formats like ONNX for model exporting makes your machine learning models more portable across different programming environments, reducing dependencies on specific languages.

Measuring PR throughput—perspectives from SPACE author Brian Houck

Engineering Enablement • 8 implied HN points • 03 Dec 24
🕹 Technology Software Engineering
  1. PR throughput is a useful metric for understanding the health of a software system. It can highlight issues that developers face while coding, helping teams identify where improvements can be made.
  2. It's important to use PR throughput as part of a larger set of metrics. This approach helps ensure that you get a balanced view of productivity, developer satisfaction, and overall system efficiency.
  3. When measuring PR throughput, context matters. A rise in this metric can mean different things, like increased workloads or improved processes, so it's essential to look deeper into the reasons behind the changes.

Changing my mind on whether managers should keep coding

peoplefirstengineering • 8 implied HN points • 05 Dec 24
🕹 Technology Software Engineering
  1. It's important for managers to stay connected to coding, as it helps them empathize with their team. Being hands-on can improve understanding of the challenges engineers face.
  2. Empathy in leadership goes beyond just understanding tasks; it involves recognizing individual emotions and how they affect performance. Good managers should tailor their support based on team members' unique situations.
  3. Challenges in coding create a shared experience among team members. Managers who code can better relate to the ups and downs, building trust and a stronger team dynamic.

Accelerating Code Reviews With Nudges

Engineering Enablement • 19 implied HN points • 09 Feb 24
🕹 Technology Software Engineering
  1. Code reviews at Meta were taking too long, so they experimented with NudgeBot to speed up the process.
  2. The team identified a correlation between slow code reviews and dissatisfaction, leading to the implementation of NudgeBot.
  3. By using NudgeBot to nudge reviewers to act on 'stale' diffs, Meta successfully reduced the time taken for code reviews.

They should have fired him

A Perfectly Cromulent Software Engineer • 1 HN point • 21 Apr 24
🕹 Technology Software Engineering
  1. Transitioning to a traditional job from freelance work can be a significant change in routine and responsibilities.
  2. Challenges and growth opportunities can arise when tasked with larger, more ambiguous projects that test technical abilities.
  3. Recognizing toxic behavior in oneself or others, such as being uncooperative and rude, is essential in maintaining a positive work environment.