The hottest Software Engineering Substack posts right now

And their main takeaways
Category
Top Technology Topics
Technology Made Simple 59 implied HN points 19 Oct 22
  1. Good documentation in software engineering is crucial as it provides clarity to the team about goals and work done, enhancing productivity.
  2. Key pillars of good documentation include having a vision for the company and products, outlining resource/situational constraints, detailing data sources and processing, tracking projects in progress, sharing actual code, and establishing ownership.
  3. Benefits of good documentation in tech include aligning teams, clarifying vision and plans, reducing onboarding time, and promoting asynchronicity in an increasingly remote working environment.
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.
Technology Made Simple 59 implied HN points 02 Sep 22
  1. The problem discussed involves multiplying two non-negative integers represented as strings without using built-in libraries or converting them directly to integers. This approach is used to prevent overflow.
  2. Understanding the process of multiplication and breaking it down into individual steps is crucial in tackling problems like this. It helps in figuring out the next steps and finding a path forward.
  3. Consider unique approaches, such as examining how computers encode characters and utilizing this knowledge to work around constraints. Building a strong foundation in software engineering fundamentals is beneficial for problem-solving.
System Design Classroom 2 HN points 10 Jul 24
  1. To handle system failures, you can use different strategies like 'Fail Fast' which stops operations quickly to save resources. But this can affect user experience because they won't get a chance to recover from the error.
  2. Another approach is 'Fail Silent', where instead of showing an error, the system quietly returns a default value. It helps keep things running smoothly, but users might miss important information if data is missing.
  3. Lastly, there's 'Custom Fallback', which uses saved local data when a service fails. This keeps the service active, but the information might be outdated, which can confuse users.
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Technology Made Simple 59 implied HN points 27 Jul 22
  1. Problem 49 involves designing a stack to support various operations like push, pop, and finding the minimum element in constant time
  2. The newsletter celebrates almost reaching 50 problems by offering a special promo of 50% off the subscription for a limited time
  3. To enhance problem-solving skills, the newsletter encourages tackling challenging questions like the Boolean Satisfiability problem and provides solutions and guidance
Technology Made Simple 59 implied HN points 12 Jul 22
  1. Give detailed updates in your daily standups, including your decision-making process, collaborators, important information, and technical details.
  2. Involve more stakeholders by discussing how your work impacts others, inviting collaboration for better projects.
  3. Understand and express the 'why' behind your tasks, which provides context for creating thorough solutions and requires knowledge of both Computer Science and project economics.
The Orchestra Data Leadership Newsletter 19 implied HN points 05 Nov 23
  1. Consider data contracts if your internal data changes often to ensure collaboration between software engineering and data engineering teams.
  2. If you have important metrics that depend on software engineering actions, like defining 'Active Users,' data contracts can help maintain data quality.
  3. In cases where software engineering and data engineering roles overlap, implementing data contracts can streamline data ingestion processes and improve data quality.
Technology Made Simple 59 implied HN points 07 Jun 22
  1. Economies of scale mean costs decrease as production increases, benefitting companies by spreading costs over more goods.
  2. Tech and software engineering benefit greatly from scaling and replication, allowing for efficient large-scale operations.
  3. To leverage the principles of scale for career growth, understand how your solutions fit into the big picture and build a strong foundational knowledge across different areas.
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.
Technology Made Simple 79 implied HN points 20 Jan 22
  1. When trying to solve a problem involving rotating a list by k elements, consider the pattern finding technique to optimize the solution.
  2. Understanding the periodic nature of the problem can help reduce the number of operations needed, especially with large values of n and k.
  3. A key insight for rotating a list by k elements is to split the list into sublists based on the pivot (k) and manipulate these sublists to achieve the desired rotation without creating new copies.
Code Crafters by Anas 19 implied HN points 08 Sep 23
  1. Taking walks can clear your mind, solve problems, and relieve stress.
  2. Trying out making videos can be fun, help with public speaking, and be a good outlet for sharing content.
  3. Reading 'The War of Art' can motivate and remind you to stay disciplined in creative projects.
One Thing at a Time 19 implied HN points 08 Jun 23
  1. Dave Cross shared his experience of being a guest on a podcast to discuss GitHub Actions.
  2. Dave Cross found Generative AI tools like ChatGPT and GitHub Copilot to significantly boost his productivity in coding.
  3. Dave Cross is exploring AI services like CodeWhisperer at the AWS Summit and is looking for work opportunities in Perl, Linux, web development, databases, and more.
Technology Made Simple 59 implied HN points 03 May 22
  1. Bayes Theorem allows us to update beliefs based on evidence, crucial for software developers making decisions.
  2. Bayesian Thinking is implicit in many decisions we make, and recognizing its importance can prevent fallacies.
  3. Learning Bayesian Thinking involves understanding intuition behind the math, using resources like StatsQuest and 3Blue1Brown.
Engineering Enablement 19 implied HN points 09 Feb 24
  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.
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.
Technology Made Simple 39 implied HN points 26 Jul 22
  1. The technique of making simplifying assumptions can help in problem-solving in various areas like System Design, Competitive Programming, and Math.
  2. Loosening computational constraints and accepting tradeoffs in performance metrics can lead to more optimal solutions by focusing on key aspects rather than trying to solve everything at once.
  3. Reducing scale, simplifying input, and picking optimal battlegrounds are strategies to make problem-solving more manageable and effective by breaking down complex problems into simpler components.
The API Changelog 1 implied HN point 05 Dec 24
  1. The API middle-end is an important layer that handles logic between the frontend and backend. It helps process requests and responses more efficiently.
  2. Using a middle-end can improve API performance by adapting and translating data without heavy delays in service, like caching and asynchronous operations.
  3. This concept can benefit both API producers and consumers by creating a more tailored and efficient interaction with the API, similar to how GraphQL APIs manage multiple data sources.
The Caring Techie Newsletter 23 implied HN points 15 Nov 23
  1. When interviewing software engineers, focus on non-technical signals like trustworthiness and communication skills.
  2. Assess if candidates will work well in a team and be effective in the role they're interviewing for.
  3. Solid technical skills are important, but being a team player is equally crucial in software engineering.
Load-bearing Tomato 5 implied HN points 06 Aug 24
  1. Sound in games is made to work in real-time, which means it can't be exactly like in real life. Instead, game developers use simplified calculations to make it feel realistic without needing huge amounts of computer power.
  2. To create sound effects in games, developers use Emitters to play sounds and Listeners to receive them. This setup helps in determining how loud a sound is based on the distance and direction from where it is coming.
  3. Using Rooms and Portals helps organize sounds in the game environment. This makes it easier for the game to decide what sounds the player can hear and adjust them accordingly, leading to a more immersive experience.
Technology Made Simple 39 implied HN points 13 Jun 22
  1. Sometimes, in software engineering, it's important to simplify the solution rather than making it overly complex.
  2. In problem-solving, considering economic aspects alongside technical solutions can lead to more efficient and sustainable outcomes.
  3. To excel in software development, it's crucial to broaden your knowledge and decision-making skills beyond just coding.
Technology Made Simple 39 implied HN points 11 Jun 22
  1. Creating a data structure with O(1) time complexity involves implementing functions like plus, minus, get_max, and get_min efficiently.
  2. Utilizing a Doubly Linked List allows for maintaining a sorted collection of keys, enabling quick access to elements with the lowest and highest values.
  3. Developing algorithms to handle key count increments and decrements while preserving the sorted order of the linked list is crucial for a functional solution.
Technology Made Simple 39 implied HN points 07 May 22
  1. There are various ways to make money in Machine Learning beyond the traditional roles like AI research and Data Analysis, such as specializing in software engineering aspects like developing hardware, building data sources, creating pipelines, and designing platforms.
  2. Important skills to succeed in these alternative paths include writing good tests, mastering data compression and handling, and becoming proficient in large-scale system design to ensure scalability.
  3. Staying updated with ML resources and technologies like Airflow, Kubernetes, and Snowflake can be valuable for maximizing income opportunities in Machine Learning without needing to focus on the mathematics and theory aspects.
Technology Made Simple 39 implied HN points 04 May 22
  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.
Data People Etc. 36 HN points 24 Apr 23
  1. Orchestration is essential and will continue to be important in the future of managing data pipelines.
  2. Orchestration involves coordinating and managing multiple systems and tasks to execute workflows.
  3. Tools like Dagster provide a control plane for managing data assets and metadata, ensuring a structured and cohesive data platform.
Technology Made Simple 39 implied HN points 31 Mar 22
  1. The problem discussed involves calculating how much water can be trapped after rain, based on elevation maps.
  2. Problem solving and recognition skills are important for this type of coding challenge, rather than specialized knowledge.
  3. The newsletter offers coding interview help and techniques for success, especially for firms like FAANG and MAMAA.