The hottest Coding Substack posts right now

And their main takeaways
Top Technology Topics
Confessions of a Code Addict • 357 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.
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.
Breaking Smart • 43 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.
Confessions of a Code Addict • 572 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.
The ZenMode • 45 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.
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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.
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.
HackerPulse Dispatch • 8 implied HN points • 20 Feb 24
  1. Understanding popular Stack Overflow questions reveals insights on efficiency, mastering tools, and effective problem-solving in coding.
  2. Monitoring Stack Overflow questions can provide developers with valuable signals for documentation improvements and API enhancements.
  3. The emergence of AI, like OpenAI's Codex and GitHub Copilot, is impacting traditional coding platforms like Stack Overflow, causing a decline in traffic and engagement.
lcamtuf’s thing • 1145 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.
Confessions of a Code Addict • 477 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.
Recommender systems • 26 implied HN points • 20 Jan 24
  1. Reducing selection bias and popularity bias in ranking is important for recommender systems.
  2. An advocated approach is to factorize user interaction signals to account for biases originating from power users and power items.
  3. The proposals for causal/debiased ranking involve factorization, mutual information, and mixture of logits to improve the ranking model.
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.
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.
Multimodal by Bakz T. Future • 1 implied HN point • 14 Feb 24
  1. Using ChatGPT as a problem-solving tool in coding can save mental energy in tackling initial challenges.
  2. Leveraging AI like ChatGPT from the early stages of development can accelerate problem-solving and time-saving efforts.
  3. ChatGPT works well in coding but may not be suitable for all domains; caution is advised to not solely rely on its answers without critical thinking.
system bashing • 176 implied HN points • 01 Jul 23
  1. During a hiring process, it's important to assess candidates based on coachable vs non-coachable gaps to align with the team's needs.
  2. For junior engineers, watch out for extreme design decisions like overly complex or overly simplistic solutions, as they may indicate a lack of awareness.
  3. When interviewing, consider candidates' coding nature, such as the balance between writing clean code and practical functionality testing, as it reflects their approach to software development.
Basta’s Notes • 204 implied HN points • 19 May 23
  1. Reusing code can be beneficial, but be cautious of reusing business logic as it can lead to unexpected dependencies.
  2. When rewriting code, consider extending existing functionality rather than reusing entire systems to prevent potential issues.
  3. Make sure to thoroughly understand the business logic behind the code to avoid unintended consequences, especially when dealing with complex systems.