The hottest Coding Substack posts right now

And their main takeaways
Top Technology Topics
lcamtuf’s thing • 2332 implied HN points • 13 Mar 24
  1. The focus on product security often overshadows the more critical aspect of enterprise security.
  2. Enterprise security faces challenges like employee actions that can bypass security measures, demonstrating the need for a paradigm shift.
  3. Successful security programs accept the inevitability of compromise and prioritize detection, response, and containment over aiming for perfect defenses.
thezvi • 1963 implied HN points • 18 Mar 24
  1. Devin, an AI software engineer, is showcasing impressive abilities such as debugging and building websites autonomously.
  2. The introduction of AI agents like Devin raises concerns about potential risks, such as improper long-term coding considerations and job disruptions.
  3. Using an AI like Devin introduces significant challenges related to safety, reliability, and trust, prompting the need for careful isolation and security measures.
Bite code! • 1590 implied HN points • 06 Mar 24
  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.
MOHAMMED JAMAL • 204 HN points • 12 May 24
  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.
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Confessions of a Code Addict • 577 implied HN points • 15 Jan 24
  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.
lcamtuf’s thing • 1166 implied HN points • 13 Oct 23
  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.
Data at Depth • 39 implied HN points • 09 May 24
  1. Python Streamlit is a powerful tool for creating interactive data visualizations packaged neatly into applications that can be displayed in a browser.
  2. The project highlighted step-by-step modular development to create an application with dropdown menus, radio buttons, and choropleth maps for visualizing UNHCR refugee data.
  3. The interactive Streamlit dashboard allows users to explore both where asylum seekers are going to and where asylum seekers are coming from, offering a detailed look at global refugee movements.
Confessions of a Code Addict • 360 implied HN points • 02 Feb 24
  1. The live session focuses on learning to analyze and reason about code performance through iterative optimization using 1BRC as a case study.
  2. Attendees will explore various topics including performance profiling with flamegraphs, I/O strategies, and leveraging SIMD instructions.
  3. Prerequisites include a few years of coding experience in languages like C, C++, Java, or others, with a specific focus on Java during the session.
Technology Made Simple • 119 implied HN points • 18 Mar 24
  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.
Aayushya’s Substack • 99 implied HN points • 06 Mar 24
  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.
Elevate • 258 implied HN points • 21 Dec 23
  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.
Confessions of a Code Addict • 481 implied HN points • 07 Oct 23
  1. The growth of subscribers for 'Confessions of a Code Addict' has been significant, with spikes after posting articles.
  2. The author's journey started after a job loss, and the community support keeps them dedicated to creating content.
  3. Future plans for the community include introducing paid subscriptions with various perks and additional initiatives.
Low Latency Trading Insights • 117 implied HN points • 11 Feb 24
  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.
Tyler Glaiel's Blog • 567 HN points • 17 Mar 23
  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.
Basta’s Notes • 81 implied HN points • 08 Feb 24
  1. The author built a website with a bold and animated design that may not please everyone, but aimed to excite their target audience of podcasters.
  2. The website underwent significant development, transitioning from a DOM-based approach to using Canvas for animations, like with a globe section featuring looping videos.
  3. Challenges were overcome by techniques such as using Perlin noise for wiggling animations and rendering inline SVG images via React for intricate visual elements.
Wisdom over Waves • 219 implied HN points • 31 Oct 23
  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
GM Shaders Mini Tuts • 58 implied HN points • 10 Feb 24
  1. WebGPU is the new standard for accelerated graphics and compute, set to replace WebGL. It offers more features, deeper low-level access, and enhanced security, making it exciting for developers.
  2. WebGPU provides cross-platform support, allowing for better control over GPU resources, and introduces compute shaders for handling diverse data types efficiently.
  3. WGSL, the shading language of WebGPU, is stricter than GLSL with similarities to Rust or Swift. It offers optimizations and consistent results across different hardware configurations.
lcamtuf’s thing • 42 HN points • 01 Mar 24
  1. Memory safety in programming languages like C and C++ is a significant issue due to the risk of buffer overflows and other coding errors.
  2. Although there is a push to adopt memory-safe languages like a mandate from The White House, the practicality and necessity of such a move is questionable.
  3. Challenges in enforcing a complete shift to memory-safe languages include the limited exposure of critical code to attacks and the fact that other security vulnerabilities are more common in causing breaches.
Register Spill • 353 implied HN points • 25 Jun 23
  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.
Data at Depth • 19 implied HN points • 06 Apr 24
  1. Understanding Python data visualization libraries like Matplotlib, Seaborn, and Plotly can help you create different types of visualizations.
  2. Learning data cleaning and preprocessing techniques with Pandas is crucial to ensure accurate and meaningful visualizations.
  3. Mastering Modular Prompting with tools like ChatGPT can speed up coding tasks by generating code snippets based on specific instructions.
Breaking Smart • 45 implied HN points • 16 Feb 24
  1. The essay discussed contrasting viewpoints on the level of detail present in reality, questioning if there might actually be a surprising lack of detail.
  2. The post highlighted two major AI developments, Sora and Gemini 1.5, emphasizing the importance of boring inference advances over flashy training advances.
  3. The complexity of reality and the intricacies of AI advancements were juxtaposed with simple examples, prompting readers to reconsider their perceptions about reality's level of detail.
The ZenMode • 42 implied HN points • 14 Feb 24
  1. Strategic planning is key: Designate crucial coding tasks that ignite your passion the night before to fuel deep focus and better code.
  2. Create a distraction-free coding environment: Silence your phone, limit browser tabs, and resist multitasking to enhance true focus in a minimalist space.
  3. Take care of your body and experiment with coding blocks: Stay hydrated, consider supplements, move physically, and adapt your coding sessions to find your unique rhythm.
The Schematic • 3 HN points • 19 May 24
  1. Software engineering is here to stay, despite claims that AI will replace coding jobs.
  2. AI has limitations in generating code and may not fully understand project contexts, making it less helpful in many real-world scenarios.
  3. Coding is a means to an end for software engineers, and increasing code production does not reduce the need for developers.
Brain Bytes • 59 implied HN points • 20 Dec 23
  1. Choose a flexible programming language like Python or JavaScript to boost your chances of landing a beginner job.
  2. Take your time learning coding through books, tutorials, or courses - don't rush the process. Type along with tutorials and practice consistently.
  3. Build simple projects using frameworks, add them to your portfolio, and deploy them online to enhance your chances when applying for jobs. Showcase your projects and personality in your resume.