The hottest Coding Substack posts right now

And their main takeaways
Category
Top Technology Topics

Firmware Vibing

atomic14 • 346 implied HN points • 04 Jul 25
🕹 Technology Gadgets Hardware Software Coding Innovations
  1. There's a new one-button keyboard that makes coding simpler and fun. It's designed just for 'vibe coding'!
  2. The keyboard uses advanced technology to manage power efficiently, making it more effective than older designs.
  3. Creating low profile keys was tricky due to size differences, but it worked out in the end, making for a unique typing experience.

Augmented Coding Technique: Copy From Simpler Language

Software Design: Tidy First? • 994 implied HN points • 06 Jun 25
🕹 Technology Software Coding Data Structures Programming Languages Development Tools
  1. When building complex software, it's crucial to manage complexity by tackling one piece at a time. Trying to do everything at once can lead to confusion.
  2. Using clear outcomes and defined tests can help guide the development process and keep it on track. This way, you can focus on specific tasks without adding unnecessary requirements.
  3. Autonomous coding tools can be useful, but they work best on tasks that are straightforward. If a task is too complicated, it might overwhelm the tool and cause more problems.

Getting silly with C, part (void*)2

lcamtuf’s thing • 3673 implied HN points • 10 Jan 25
🕹 Technology Programming Software Coding Development Computer Science
  1. Understanding C's syntax can be tricky, especially with function declarations and typedefs. You'll find that some definitions may not be exactly what they seem.
  2. C allows some flexibility with variable and function declarations, which can lead to surprising behaviors, so always double-check how your symbols interact in different scopes.
  3. There are quirky features in C, like a BASIC compatibility mode for line numbering, showing that the language has some fun, unexpected twists!

Change Python's syntax with the "# coding:" trick

Bite code! • 1467 implied HN points • 25 Jan 25
🕹 Technology Programming Software Development Scripting Coding
  1. You can change Python's syntax using a special trick called '# coding:'. This lets you define how your code is read and interpreted.
  2. By using custom codecs, you can make unusual text formats like JPEGs or even SQL valid in Python. It's a creative way to mix different languages within Python.
  3. While it's fun to play with these features, it can also make your code really complicated and hard to debug. So, use this power wisely!

Augmented Coding: Copy/Paste Detector

Software Design: Tidy First? • 243 implied HN points • 09 Jun 25
🕹 Technology Software Design Coding Development Innovation
  1. Copying and pasting code can help speed up development but may lead to issues if you're not careful. It's important to ensure that the pasted code fits well with the rest of your project.
  2. Having a clear design sense is crucial when coding. If your code lacks structure, it can become messy and hard to manage later on.
  3. Learning from mistakes in coding can lead to important lessons for future projects. Sharing these lessons can help others avoid the same pitfalls.
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Reality Check for the Coding Community: Mastery, Illusions, & Vanishing Entry-Level Jobs

ppdispatch • 19 implied HN points • 10 Jun 25
🕹 Technology Software Coding AI Job Market Open Source
  1. AI can help with coding, but real skill comes from hands-on experience and hard work. Skipping the tough parts can lead to a lack of understanding.
  2. Entry-level tech jobs are disappearing fast, especially in big companies. Newcomers need to find creative ways to showcase their skills.
  3. Modern computers might not speed up older code as much as you'd think. It's often the tools and techniques we use to write code that make a big difference.

Augmented Coding: Coached by the Genie

Software Design: Tidy First? • 154 implied HN points • 11 Jun 25
🕹 Technology Software Coding Innovation Artificial Intelligence Software Design
  1. Improvement is great, but when improvements lead to even more rapid progress, that’s revolutionary. We should strive for advancements that keep building on each other.
  2. There are limits to how much we can improve, influenced by natural laws. This means while we can grow, there will also be things that slow us down.
  3. Having support or guidance, like a 'genie', can help us make better progress. It’s helpful to have tools or mentors that guide us in our journey.

Copy From a Simpler Language

Software Design: Tidy First? • 375 implied HN points • 31 May 25
🕹 Technology Software Coding Design Innovation Programming
  1. Using a simpler coding language can help solve complex problems more effectively. It's like making a tough task easier by breaking it down.
  2. There's a technique to get better results from complicated languages by copying from simpler ones. This might be useful for solving tricky coding challenges.
  3. The speed of changes in coding can create new ways to approach these problems. Staying aware of these changes can help developers improve their skills.

Solving The SwiftUI Interview

Jacob’s Tech Tavern • 2186 implied HN points • 10 Dec 24
🕹 Technology Software Programming Interviews Coding Swift
  1. Understanding SwiftUI is crucial for coding interviews, especially for positions focused on iOS development. It helps you stand out as a candidate.
  2. Practicing Swift Concurrency will give you an edge in solving problems more efficiently during interviews. It's an important skill that employers value.
  3. Interviews don't have to be stressful or frustrating. Using structured approaches can make the process smoother and more enjoyable for both candidates and interviewers.

Advanced Swift Concurrency

Jacob’s Tech Tavern • 2624 implied HN points • 12 Nov 24
🕹 Technology Programming Software Development Concurrency Coding
  1. Swift Concurrency is a modern way to handle tasks in Swift, making it easier and more powerful compared to earlier methods like GCD. It's designed for simplicity and efficiency.
  2. Important concepts in Swift Concurrency include Task properties like priority, cancellation, and timeout settings. Understanding these helps developers manage their applications better.
  3. Using Task effectively allows developers to create more responsive and dynamic apps. It’s great to explore real-life examples to grasp how to implement these advanced features.

Anthropic's Claude Code has a High Ceiling

Machine Economy Press • 9 implied HN points • 25 Feb 25
🕹 Technology AI Startups Software Coding Development
  1. Claude Code is a powerful new tool that helps developers code faster by understanding their code and assisting with tasks like fixing bugs and managing version control.
  2. The latest updates to Claude, especially version 3.7, enhance its ability to handle complex coding tasks efficiently, making it a valuable asset for startups looking to scale quickly.
  3. With strong backing and advanced features, Anthropic's Claude Code is likely to lead in the AI coding space, offering a reliable alternative to other existing tools.

The Sequence Opinion #547: Best Practices I am Learning While Coding with AI Agents

TheSequence • 63 implied HN points • 22 May 25
🕹 Technology Software AI Engineering Coding Testing
  1. Software engineering is changing rapidly with the use of AI agents. Teams are now using AI to help speed up their work and take on new roles.
  2. AI agents are moving beyond just helping with code completion. They now can generate entire code bases, run tests, and manage pull requests automatically.
  3. Developers are shifting their focus from hands-on coding to more strategic tasks like code review and creating documentation, as AI handles more of the coding work.

Now is the time to rethink engineering productivity

Dev Interrupted • 18 implied HN points • 03 Jun 25
🕹 Technology Software AI Productivity Engineering Coding
  1. Engineering teams need to focus more on actively improving productivity rather than just collecting data. It's important to turn insights into actions for better results.
  2. AI coding assistants can struggle and require guidance, as they might not always provide accurate code. Understanding when to rely on AI and when to take control is key.
  3. Using pen and paper can boost creativity and memory. Sometimes stepping away from screens leads to fresh ideas and deeper thinking.

How much effort is it to create software?

Bite code! • 1590 implied HN points • 06 Mar 24
🕹 Technology Software Development Coding Information processing Tech Tools Human Interaction
  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.

Homoiconic Python

MOHAMMED JAMAL • 204 HN points • 12 May 24
🕹 Technology Programming Coding Python Interpretation
  1. Lisp is a programming language known for treating code and data as interchangeable, a concept called homoiconicity, allowing for unique expression within the language.
  2. By translating Lisp expressions into Python constructs like function calls and lists, programmers can maintain the essence of Lisp in a more familiar syntax.
  3. Incorporating features like lambdas in Python, inspired by Lisp, provides the ability to define and call functions recursively, essential for creating Turing complete languages.

Live Session: Live Coding a Bytecode Interpreter for Python

Confessions of a Code Addict • 312 implied HN points • 01 Dec 24
🕹 Technology Coding Programming Software Education Development
  1. The session will involve live coding a simple compiler and virtual machine for a small part of Python. They will focus on features like variables, function calls, and loops.
  2. Participants should know programming well and have some Python experience, especially since recursion will be used a lot in this session.
  3. The session is happening on December 14th and will not be recorded, so attendees should plan to join live for the best experience.

MCU land #11: Linux toolchain for Cortex-M

lcamtuf’s thing • 1428 implied HN points • 13 Oct 23
🕹 Technology Coding Hardware Development Linux Programming
  1. Setting up a Linux toolchain for Cortex-M microcontrollers can be challenging but beneficial.
  2. When setting up the toolchain, ensure to get the Cortex-M cross-compiler, CMSIS library, and Device Family Pack.
  3. Compiling and programming the device requires additional steps like using the newlib C library and flashing the binary onto the chip.

Live Session: Live Coding a Bytecode Interpreter for Python

Confessions of a Code Addict • 360 implied HN points • 30 Oct 24
🕹 Technology Programming Software Development Coding Education
  1. The next live coding session will focus on creating a bytecode interpreter for Python. It will help participants understand important concepts like how Python code is structured and executed.
  2. In the session, participants will learn about Python's abstract syntax tree and how to traverse it to interpret code. This is a hands-on opportunity to experience coding in a live setting.
  3. There are limited spots available for the session, so early registration is encouraged. The session is free for paid subscribers, and there will be a recording available for those who sign up.

That Time I Tried To Get Johnathan Blow To Publish a Game to Windows 8

Meanwhile, on the other side of my brain... • 99 implied HN points • 29 May 24
🕹 Technology Coding Gaming Software Development Indie games
  1. Setting realistic goals is crucial for success, rather than unachievable targets that can lead to frustration.
  2. Building genuine relationships and solving real problems with developers can lead to lasting goodwill.
  3. Understanding and meeting the needs of developers is key to successful developer relations, instead of focusing solely on unreachable goals.

Can GPT-4 *Actually* Write Code?

Tyler Glaiel's Blog • 567 HN points • 17 Mar 23
🕹 Technology Artificial Intelligence Coding Algorithms Machine Learning Programming
  1. GPT-4 can write code when given existing algorithms or well-known problems, as it remixes existing solutions.
  2. However, when faced with novel or unique problems, GPT-4 struggles to provide accurate solutions and can make incorrect guesses.
  3. It's crucial to understand that while GPT-4 can generate code, it may not be reliable for solving complex, new problems in programming.

Tinkering | #285

Boundless by Paul Millerd • 127 implied HN points • 13 Jan 25
🕹 Technology Coding AI Creativity Learning Productivity
  1. Taking time for playful activities, or 'tinkering,' is important for creativity. It can help spark new ideas and keep your work enjoyable.
  2. Learning new skills like coding can be less intimidating with the right resources. Finding good courses or tools can make the process easier and more fun.
  3. Balance is key in life. Sometimes, stepping back from productivity can lead to greater discoveries and personal growth.

Cellar Door

Logos • 19 implied HN points • 13 Aug 24
🕹 Technology AI Development Web Apps Coding Programming User Experience
  1. The project, Cellar Door, aims to find the most beautiful word in English by using a voting system based on people's preferences. It's a fun way to see which words people like the most.
  2. They initially struggled with a word list that included silly terms, but switched to a more reliable source to ensure the app only features valid words. The process of cleaning up the data is ongoing.
  3. The use of AI tools like OpenAI's API has made coding easier and more efficient for developing apps. However, there's still a need for better platforms to help non-technical users create their own apps with less confusion.

When LLMs Made Everyone a Coder

ScaleDown • 22 implied HN points • 29 Dec 24
🕹 Technology AI Tools Coding Software Development Product Management Tech Trends
  1. Using AI to write code can be misleading. Just because the code looks good doesn't mean it works; real coding requires understanding the logic behind it.
  2. Simple apps can be more effective than complex ones built with AI. Breaking tasks into manageable steps is key to successful programming.
  3. AI tools are helpful but shouldn't replace engineers. Someone needs to check and fix the code generated by AI, making engineers still very important.

Good code is like a love letter to the next developer who will maintain it.

Elevate • 258 implied HN points • 21 Dec 23
🕹 Technology Coding Design Patterns Writing AI Collaboration
  1. Good code is a form of communication and should be like a love letter to the next developer maintaining it, personal, sincere, and considerate.
  2. Design patterns and principles in code serve as a shared vocabulary for developers to create scalable, maintainable, and efficient solutions.
  3. Writing good code involves adhering to established best practices like consistent formatting, error handling, testing, and empathy towards other developers.

Cadence of Code

Register Spill • 353 implied HN points • 25 Jun 23
🕹 Technology Coding Learning Programming
  1. Retyping other people's writing can help you learn more about their writing style and rhythm.
  2. Actively engaging with code by typing it out can help with better learning and absorption.
  3. Consider typing out pieces of code character by character to understand the rhythm and cadence of the programming language.

The slow death of the hands-on engineering manager

Leading Developers • 139 implied HN points • 12 Nov 24
🕹 Technology Software Engineering Management Artificial Intelligence Coding Productivity
  1. Many engineering managers want to code more, but their roles shift them away from hands-on work. Finding even a few hours a week to code can help stay engaged with the team.
  2. Choosing small, impactful tasks can keep managers involved in coding. Projects that help the team or solve annoying issues can be both beneficial and satisfying.
  3. Creating internal tools, like a chatbot for documentation, can improve efficiency and learning. Such projects can bring value to the team while allowing managers to practice their skills.

Building a Simple Live Streaming Platform[System Design Sundays]

Technology Made Simple • 119 implied HN points • 18 Mar 24
🕹 Technology System Design Live Streaming Platforms Coding Software Engineering
  1. When designing a live streaming platform like Twitch, key steps include ingestion, transcoding, packaging, CDN utilization, and database management.
  2. Challenges like low latency, scalability, and reliability must be addressed for the success of a live streaming platform.
  3. To enhance a streaming service further, consider advanced technologies like adaptive bitrate algorithms, advanced caching, and community features.

Workshop on Performance Optimizations in Code: The One Billion Row Challenge

Confessions of a Code Addict • 577 implied HN points • 15 Jan 24
🕹 Technology Programming Workshop Optimization Performance Coding
  1. Code efficiency at scale is crucial - data structures and algorithms matter, but execution cost is also important.
  2. Participating in challenges like the 1 Billion Row Challenge can enhance performance engineering skills.
  3. The workshop covers optimization techniques like flamegraphs, I/O strategies, system calls, SIMD instructions, and more.

Write Cleaner, More Maintainable Rust Code with PhantomData

Aayushya’s Substack • 99 implied HN points • 06 Mar 24
🕹 Technology Coding Software Development Rust Programming
  1. Using PhantomData in Rust can help reduce code duplication by creating a generic struct with common fields and methods.
  2. Marker types like FreeLineQuantityTag and BilledLineQuantityTag can help differentiate between types when refactoring code.
  3. Leveraging advanced Rust features like PhantomData can lead to more maintainable and expressive code in real-world projects.

CodeGen News for 2024-09-09

CodeGen News • 3 HN points • 09 Sep 24
🕹 Technology AI Software Coding Development Tools
  1. There are new articles and tools to help developers work better with AI-generated code. It's important to stay updated on these resources to improve your skills.
  2. The newsletter features a variety of reading, watching, and listening materials that can enhance your understanding of AI in coding. Exploring different formats can make learning more engaging.
  3. Recent updates to coding projects, like GitHub Copilot and Replit, show how AI is changing software development. Keeping track of these changes can help you utilize these tools effectively.

Controlling Rate-Limited Events - Implementation

Low Latency Trading Insights • 117 implied HN points • 11 Feb 24
🕹 Technology Algorithms Data Structures Coding Performance
  1. The requirements for a rate-limiting algorithm include precise event counting, fast performance especially during market turbulence, and minimal impact on cache memory.
  2. Creating a rate-limiting algorithm using a multimap for counting events has inefficiencies; a better solution involves enhancements for optimal performance.
  3. A bounded approximation approach for rate limiting achieves memory efficiency by assuming a minimum time precision and implementing a clever advance-and-clear mechanism.

Why Companies Become Stuck In Bad Coding Loops—And How To Escape Them

Wisdom over Waves • 219 implied HN points • 31 Oct 23
🕹 Technology Software Coding Tech industry Development Innovation
  1. Companies can get stuck in bad coding loops due to shortcuts taken to meet deadlines and lack of focus on code fitness, leading to slow progress and accumulation of bad-quality code
  2. Two loops of bad coding involve creating technical debt with more code and lowering hiring bar due to pressure, resulting in slower progress and accumulation of bad code practices
  3. To break out of these loops, companies can freeze code hotspots, raise hiring bar, upskill developers, and reduce technical debt through mission-critical task forces

AI Coding Tools (May 2025)

Anant’s Newsletter • 6 implied HN points • 12 May 25
🕹 Technology AI Tools Software Engineering Coding Productivity Innovation
  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.