The hottest Software Engineering Substack posts right now

And their main takeaways
Top Technology Topics
Platformer • 12755 implied HN points • 12 Jan 24
  1. Platformer has decided to move off of Substack and migrate to a new website powered by Ghost
  2. The decision was influenced by concerns over how Substack moderates content and promotes publications
  3. Substack faced controversies over hosting extremist content, leading to Platformer's decision to leave for a platform with more robust content moderation policies
High Growth Engineer • 1285 implied HN points • 10 Mar 24
  1. Successful software engineers need to know how to lead projects, not just code
  2. Key project management steps include kickoff, setup, planning, execution, launch, and close-out
  3. Communication, alignment on goals, and iterative feedback are crucial throughout the project lifecycle
High Growth Engineer • 1574 implied HN points • 18 Feb 24
  1. Planning is crucial to avoid feeling unproductive and getting pulled in different directions throughout the day.
  2. By planning your day, you focus on what's important and maintain control over your daily tasks.
  3. Even a simple daily plan of one main goal can significantly improve your productivity and time management.
High Growth Engineer • 1108 implied HN points • 28 Jan 24
  1. Design docs help to reduce risk, document decisions, and align on technical choices.
  2. Make design docs concise with only essential information for decision-making to ensure they get read and progress smoothly.
  3. Get individual feedback first before group sessions to make the review process more efficient and effective.
SeattleDataGuy’s Newsletter • 694 implied HN points • 14 Feb 24
  1. To grow from mid to senior level, it's important to continuously learn and improve, share new knowledge, work on code improvements, and become an expert in a certain domain.
  2. Making the team better is crucial - focus on mentoring, sharing knowledge, and creating a positive team environment. Think beyond individual tasks to impact the overall team outcomes.
  3. Seniority includes building not just technical solutions, but solutions that customers love. Challenge requirements, understand the business and product, and take initiative in problem-solving.
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High Growth Engineer • 810 implied HN points • 04 Feb 24
  1. Mentorship is a win-win-win situation: it helps you grow, grow others, and level up.
  2. To find a mentee, you can simply ask your manager or ask the person directly.
  3. Starting a mentorship involves getting to know the mentee, understanding their long-term goals, and setting up a growth plan.
Technology Made Simple • 279 implied HN points • 28 Feb 24
  1. The sliding window technique is a powerful algorithmic model used for problem-solving in coding interviews and software engineering, offering efficiency and practicality.
  2. Benefits of using the sliding window technique include reducing duplicate work, maintaining consistent linear time complexity, and its utility in AI feature extraction processes.
  3. Spotting the sliding window technique involves identifying keywords like maximum, minimum, longest, or shortest, dealing with continuous elements, and converting brute-force approaches into efficient solutions.
The Algorithmic Bridge • 116 implied HN points • 18 Mar 24
  1. The post discusses Nvidia GTC keynote, BaaS in science, Apple's potential collaboration with Google Gemini, and more key AI topics of the week.
  2. It features conversations between Sam Altman and Lex Friedman, touches on jobs in the AI era, and examines the response from NYT to OpenAI.
  3. There's a question about whether OpenAI's Sora model is trained using YouTube videos, among other intriguing topics.
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.
Technology Made Simple • 179 implied HN points • 27 Feb 24
  1. Memory pools are a way to pre-allocate and reuse memory blocks in software, which can significantly enhance performance.
  2. Benefits of memory pools include reduced fragmentation, quick memory management, and improved performance in programs with frequent memory allocations.
  3. Drawbacks of memory pools include fixed-size blocks, overhead in management, and potential for memory exhaustion if not carefully managed.
Victor’s Substack • 41 HN points • 26 Mar 24
  1. Software engineering managers should not exist as they generally take on multiple roles poorly, whereas specialists could excel at each task.
  2. Engineering managers often were mediocre engineers who compensated by picking up non-engineering tasks and ended up in managerial roles.
  3. Best teams often function well without an engineering manager observing their every move, allowing engineers to focus and be more productive.
Mindful Matrix • 179 implied HN points • 08 Feb 24
  1. Project estimation is a critical skill influencing project success; it involves setting realistic expectations, aligning efforts, and managing resources effectively.
  2. Key considerations in estimation include understanding project scope, conducting risk analysis, and utilizing estimation strategies like historical analysis and buffer times.
  3. Transparency and communication are crucial in estimation; transparency helps manage stakeholder expectations while effective communication ensures clarity and trust in the estimation process.
Tanay’s Newsletter • 119 implied HN points • 22 Feb 24
  1. AI is enhancing productivity and quality in knowledge work like software engineering and customer support.
  2. AI benefits are not uniform; it tends to help lower performers more, but can also assist top performers by reducing menial tasks.
  3. AI is not a cure-all; it has limitations and understanding when to use it is crucial for optimal results.
Mindful Matrix • 219 implied HN points • 29 Jan 24
  1. Having a growth mindset is essential in software engineering and life. Viewing challenges as opportunities for growth helps in overcoming obstacles and achieving success.
  2. Failure should be seen as a learning experience. Embracing mistakes, analyzing them, and using them as lessons leads to resilience and growth.
  3. Receiving feedback with an open mind and using it as a tool for improvement contributes to rapid skill development and fosters a collaborative work environment.
Dev Interrupted • 51 implied HN points • 14 Mar 24
  1. Engineering task estimates are often costly in time and resources, leading to inaccuracies and increased stress within the team.
  2. Distinguishing between task estimation and project estimation can help teams prioritize better and allocate resources more effectively.
  3. By adopting a 'Zenful' approach that focuses on project estimates rather than granular task estimates, teams can save time, reduce stress, and improve overall efficiency.
Wednesday Wisdom • 47 implied HN points • 13 Mar 24
  1. To beat the critical path, the first step is to acknowledge its existence.
  2. Effective project planning, like utilizing the Critical Path Method (CPM), can prevent delays and ensure timely project completion.
  3. Maintaining a Directed Acyclic Graph of project activities with expected durations is crucial in project management to identify critical paths and manage dependencies effectively.
Elevate • 477 implied HN points • 29 Nov 23
  1. Effectiveness in software engineering is about focusing on what matters most and delivering value to users, the business, and career with the available time.
  2. Traits that help software engineers be effective include caring about user needs, being a good problem solver, and keeping things simple while prioritizing quality.
  3. To excel as an exceptional software engineer, embrace change, balance technical debt and innovation, and emphasize continuous learning and teamwork.
Brain Bytes • 238 implied HN points • 03 Jan 24
  1. Set a horizon goal to guide your learning and career decisions; it could be mastering a specific area, building a professional network, or creating something new.
  2. Stay updated with new technologies and coding methodologies to remain relevant in the tech industry; consider leveraging tools like AI to enhance your work.
  3. Reflect on your career as if looking back 100 years from now to focus on meaningful, long-lasting contributions; prioritize mastering programming basics, continuous learning, soft skills, and understanding software development methodologies.
Artificial Ignorance • 42 implied HN points • 08 Mar 24
  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.
Wednesday Wisdom • 56 implied HN points • 28 Feb 24
  1. Investing time in writing beautiful code is crucial for code longevity and maintainability.
  2. Code that 'mostly works' is not the standard to aim for; focus on creating code that is always functional and meets significant requirements.
  3. Developing a culture of producing beautiful code in a team requires more than guidelines and prizes; it involves a collective shift in mindset and commitment.
SeattleDataGuy’s Newsletter • 930 implied HN points • 12 Aug 23
  1. Focusing on impact in your work can accelerate your career growth and lead to more satisfying outcomes.
  2. To have more impact in tech, run towards unsolved problems, be scrappy in finding solutions, and prioritize ruthlessly.
  3. Impact can be achieved by reducing costs or increasing revenue, and understanding how your work contributes to these areas is essential for career advancement in engineering.
Mindful Matrix • 119 implied HN points • 21 Jan 24
  1. Simplicity in software engineering is crucial for elegant solutions. Simple code is easier to maintain, read, and collaborate on.
  2. Prioritizing simplicity leads to streamlined debugging, improved scalability, and lower technical debt. It makes adapting and deploying software faster and more user-centric.
  3. Applying simplicity principles involves starting simple, avoiding premature optimization, focusing on core features, implementing incrementally, and leveraging existing tools. Embracing simplicity in coding doesn't mean avoiding complexity entirely, but finding beauty and efficiency in straightforward solutions.
Brain Bytes • 139 implied HN points • 10 Jan 24
  1. Software engineering myths include the idea that you have to learn everything in the field, but it's more practical to focus on specific areas and have a general understanding of others.
  2. The belief that adding more programmers speeds up development isn't always true; it can lead to more delays due to increased need for communication and management.
  3. Software development involves more than just writing code; it includes tasks like planning, testing, deploying, and maintaining software.
Cybersect • 78 implied HN points • 06 Feb 24
  1. Armchair experts in both football and software development have strong opinions without real expertise.
  2. Software bugs are complex and not solely due to moral weakness, but rather the inherent difficulty of preventing them.
  3. Proposed software regulations may not improve cybersecurity but instead burden smaller companies and benefit larger corporations.
Brain Bytes • 119 implied HN points • 17 Jan 24
  1. Thinking like a hacker helps in identifying and fixing security flaws before they are exploited, crucial in today's cybersecurity landscape.
  2. Understanding different devices through cross-platform critical thinking gives a competitive edge and promotes reusability of business logic.
  3. Scripting and automation for repetitive tasks enhances productivity by ensuring consistency, accuracy, and freeing up time for more complex work.
The Gradient • 24 implied HN points • 12 Mar 24
  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.
Frankly Speaking • 254 implied HN points • 16 Nov 23
  1. The current security review process is outdated and not aligned with modern development practices.
  2. Implementing efficient and effective security measures may involve integrating software engineers with security teams.
  3. Scaling security efforts requires a rethink of traditional security review processes towards more collaborative and contextual approaches.
Register Spill • 825 implied HN points • 09 Apr 23
  1. There are two types of software engineers based on how they perceive the difficulty of problems.
  2. Type 1 engineers believe non-technical problems are easy because people can just do X, while Type 2 engineers find them hard due to people being involved.
  3. Type 2 engineering embraces building with and for people, recognizing and accepting the messiness that comes with human involvement.
Technology Made Simple • 99 implied HN points • 21 Nov 23
  1. Stacks are powerful data structures in software engineering and can be modified extensively to suit different use cases.
  2. Implementing Stacks using a Singly Linked List can be beneficial for dynamic resizing, though Arrays are often preferred due to memory considerations.
  3. Exploring variations like Persistent Stacks, Limiting Stack Size, Ensuring Type Safety, Thread Safety, Tracking Min/Max, and Undo Operations can enhance the functionality and efficiency of Stacks in various scenarios.
Marcus on AI • 21 HN points • 15 Feb 24
  1. Programming in English is a concept that has been explored but faces challenges in implementation.
  2. Despite the allure of programming in English, classical programming languages exist for their precision and necessity.
  3. Machine learning models like LLMs provide a glimpse of programming in English but have limitations in practical application.
Mostly Python • 314 implied HN points • 22 Jun 23
  1. Use the GitHub API to explore popular new Python projects and find potential projects to contribute to.
  2. Consider filtering out AI-focused projects when exploring Python repositories to discover a variety of coding projects.
  3. Pruning repositories using specific terms can help identify non-AI Python projects to work on, providing valuable learning opportunities.