The hottest Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Breaking the Screenplay

Development Hell • 236 implied HN points • 02 Sep 23
📚 Literature Development
  1. Rules in screenwriting can be flexible and breaking them can lead to creative breakthroughs.
  2. Working on personal projects without external pressure can allow for creative experimentation.
  3. Challenges and frustrations can sometimes lead to unexpected opportunities and new directions.

How to Find Information

Back of the Envelope • 117 implied HN points • 05 Feb 24
🚌 Education Development
  1. When someone's behavior is out of character, there may be an important reason behind it.
  2. Presenting a clear argument helps in decision-making discussions.
  3. Identifying talented individuals by observing who others trust and seek help from within an organization.

An AI Haunted World

One Useful Thing • 972 implied HN points • 19 Dec 23
🕹 Technology Development
  1. The development of open source AI models is democratizing AI usage and allowing for easier modification and widespread deployment.
  2. The efficiency and affordability of LLMs will lead to AI being incorporated into various products for troubleshooting, monitoring, and interaction, potentially creating an 'AI haunted world'.
  3. Future AI integration may involve hierarchies of various AI models working together, with smart generalist AIs delegating tasks to cheaper, specialized AIs.

We do Math because it's hard

Kids Who Love Math • 335 implied HN points • 21 Dec 24
🚌 Education Development
  1. Math can be really hard to learn for everyone, at any age. It's normal for students to find math difficult as they progress in their education.
  2. Choosing challenges like math for kids can help them build perseverance. It's often easier to support their learning in a comfortable environment like home.
  3. It's important for kids to enjoy the challenge they're taking on. If they like math, they're more likely to stick with it and succeed.
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The Sequence Knowledge #670: Evaluating AI in Software Engineering Tasks

TheSequence • 133 implied HN points • 24 Jun 25
🕹 Technology Development
  1. Software engineering benchmarks are important to assess how well AI can help with coding. These tests look at more than just generating code; they check if AI can understand bigger projects and fix actual bugs.
  2. One standout benchmark is SWE-bench, which uses real GitHub issues and pull requests. It challenges AI models to solve bugs and pass tests like human engineers would.
  3. These benchmarks are designed to figure out if AI can work alongside engineers reliably, just like a helpful teammate.

MicroTimes Interviews Apple Newton Devs (1993)

Computer Ads from the Past • 128 implied HN points • 23 Jun 25
🕹 Technology Development
  1. The Newton MessagePad was a unique device designed to be a personal and adaptable communication tool. It learned from users and became more helpful the more it was used.
  2. Developers could create applications easily because the Newton had shared data across apps. This made it simpler for users to manage their information and created a powerful tool for convenience.
  3. It aimed to simplify tasks often done on desktop computers, making it easier for users to get things done quickly and intuitively, like tracking expenses on the go.

The Sequence Engineering #681: Building Agents with Amazon Strands

TheSequence • 119 implied HN points • 09 Jul 25
🕹 Technology Development
  1. Amazon Strands is an open-source framework that lets AI models work independently to plan and complete tasks. This means developers don’t have to write specific instructions for every single action.
  2. The framework uses three key components: a model, tools, and prompts to build intelligent agents easily. This helps in creating smarter systems with less coding effort.
  3. The essay goes into detail about how Amazon Strands works, including its structure and how it can handle multiple agents, making it a powerful tool for developers.

LLM Disruption in Chatbot Development Frameworks

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 05 Jul 24
🕹 Technology Development
  1. Large Language Models (LLMs) make chatbots act more like humans, making it easier for developers to create smart bots.
  2. Using LLMs reduces the need for complex programming rules, allowing for quicker chatbot setup for different uses.
  3. Despite the benefits, there are still challenges, like keeping chatbots stable and predictable as they become more advanced.

Embarking on the Product Management Journey: Product Research and Discovery

Product Power by Samet Ozkale • 196 implied HN points • 19 Oct 23
💼 Business Development
  1. Product managers can find ideas through user interviews, trend analysis, personal experiences, and input from internal stakeholders.
  2. Criteria for pursuing an idea include satisfying a need, having a unique selling point, being profitable and in demand, and creating value.
  3. Utilizing the Double Diamond framework can guide product discovery and development by focusing on understanding problems before jumping into solutions.

Nicoll 1 - (2.) Letter to Mr. Bush [1.b] - p.4-8

Journal of Gurdjieff Studies • 99 implied HN points • 09 Feb 24
⛪ Faith & Spirituality Development
  1. Religion focuses on developing essence after personality has been formed, aiming for a passive personality so essence can grow.
  2. Man's development involves three stages: first education through life experiences, formation of personality, and making personality passive for essence growth.
  3. Understanding the significance of essence and personality helps in recognizing the different influences in life and the potential for further development.

Options, Financial & Software

Software Design: Tidy First? • 243 implied HN points • 05 Feb 25
🕹 Technology Development
  1. Refactoring chapters can be tough to get started on, and finding the right motivation is important. Keeping momentum while writing helps you overcome these challenges.
  2. The metaphor of 'software as options' is valuable and can lead to deeper understanding in software design. Exploring these ideas can enhance how we think about software development.
  3. It's beneficial to connect economic concepts with software design to understand their value better. This connection helps in making informed decisions in both fields.

LLM Renderman

Sunday Letters • 59 implied HN points • 07 Apr 24
🕹 Technology Development
  1. The early days of CGI faced many challenges, like high costs and limited realism, similar to current struggles in AI development.
  2. Just like CGI evolved to become seamless in movies, AI technology is expected to improve and become a normal part of our lives over time.
  3. Even if some early attempts in AI look flawed, progress is being made, and future innovations will likely succeed where the past struggled.

Live Session: Live Coding a Bytecode Interpreter for Python

Confessions of a Code Addict • 360 implied HN points • 30 Oct 24
🕹 Technology Development
  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.

All Feedback is Projection

The Leadership Lab • 196 implied HN points • 19 Mar 23
🚌 Education Development
  1. Feedback is projection: Feedback you give others reflects aspects of yourself. What you judge in others can reveal your own traits.
  2. New paradigm of feedback: Move away from the old feedback model based on objective truth. Embrace the idea that feedback is a story and an opinion.
  3. Learning from feedback: By asking how feedback is true about yourself, you open up growth opportunities and deepen connections with others.

The problem with AI misalignment

venturecommune • 196 implied HN points • 02 Mar 23
🕹 Technology Development
  1. The Misalignment Museum is a new art installation addressing the problem with AI misalignment.
  2. The misalignment problem in AI focuses on compatibility of human values with superintelligent AI values.
  3. Analysis of AI technology should consider social relations and ownership to understand its impact.

The best Python feature you cannot use

Bite code! • 1223 implied HN points • 17 Jun 23
🕹 Technology Development
  1. Python has a powerful feature with the assert keyword for contract-based programming.
  2. Using assert in Python can help catch bugs and remove checks in production with PYTHONOPTIMIZE.
  3. The community is unaware of this feature, leading to potential misuse of assert statements.

LangGraph Cloud

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 19 implied HN points • 02 Jul 24
🕹 Technology Development
  1. LangGraph Cloud is a new service that helps developers easily deploy and manage their LangGraph applications online.
  2. Agent applications can handle complex tasks automatically and use large language models to work efficiently, but they face challenges like high costs and the need for better control.
  3. LangGraph Studio provides a visual way to see how code flows in applications, helping users understand and debug their work without changing any code.

Live Session: Live Coding a Bytecode Interpreter for Python

Confessions of a Code Addict • 312 implied HN points • 01 Dec 24
🕹 Technology 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.

Risk of Ruin Podcast

Erdmann Housing Tracker • 21 implied HN points • 09 Dec 25
🎙 Podcasts Development
  1. The episode breaks down what's been messing up the housing market and the reforms aimed at fixing it.
  2. Two very different homebuilders are already putting recent west-coast reforms into practice, showing policy changes are leading to real activity on the ground.
  3. A home's right is attached to the lot, and because that right is currently scarce, turning lots from single-home to multi-home rights is extremely valuable. Small design details matter, but mechanisms that multiply homes per lot act like a money printer.

OpenAI Dev Day

Bojan’s Newsletter • 157 implied HN points • 15 Nov 23
🕹 Technology Development
  1. Key announcements at OpenAI Dev Day included GPT4 Turbo, GPT Store launch, ChatGPT API introduction, new Text-to-speech API, DALL-E 3 API, Whisper 3 unveil, and Copyright Shield.
  2. Developers can create and customize GPTs for specific use cases easily.
  3. OpenAI emphasized gradual AI model advancements and the transformative impact AI will have on various industries in the near future.

Can AI Speed up your Code?

Daniel’s Substack • 3 HN points • 03 Sep 24
🕹 Technology Development
  1. AI can write a lot of code quickly, but it often makes mistakes. So, it's not ready to fully replace human programmers yet.
  2. Converting Python code to C++ can make it run much faster, especially for tasks that involve heavy string processing.
  3. While AI can assist in code conversion, current tools have limitations and sometimes struggle with complex functions.

A Short History Of Chatbots

Cobus Greyling on LLMs, NLU, NLP, chatbots & voicebots • 39 implied HN points • 09 May 24
🕹 Technology Development
  1. Chatbots have changed a lot over time, starting as simple rule-based systems and moving to advanced AI models that can understand context and user intent.
  2. Early chatbots used basic pattern recognition to respond to user questions, but this method was limited and often resulted in repetitive and predictable answers.
  3. Now, modern chatbots utilize natural language understanding and machine learning to provide more dynamic and relevant responses, making them better at handling various conversations.

The Sequence Engineering #661: Create Your Own Deep Research Agent with DeerFlow

TheSequence • 119 implied HN points • 11 Jun 25
🕹 Technology Development
  1. DeerFlow is an open-source tool that helps automate research tasks. It uses multiple agents to make research faster and easier.
  2. The framework can do many tasks, like searching the web and creating reports, with little help from people. This makes it very efficient.
  3. It's designed for developers and engineers who want to build research systems that can grow and adapt easily.

NYC office market part II

Warden Capital • 176 implied HN points • 05 Jun 23
💼 Business Development
  1. Converting office spaces to residential in NYC is costly but beneficial for the market.
  2. Challenges in office conversions include high costs and zoning regulations.
  3. NYC's office market history shows past success of office to residential conversions in reducing vacancy rates.

False Dichotomies and Overemphasizing Open Source Security

Resilient Cyber • 239 implied HN points • 21 Jul 23
🕹 Technology Development
  1. There's a lot of focus on securing open source software, but it's important not to ignore the risks in proprietary software too. Both types of software can have serious security issues.
  2. Most code in applications is actually custom code, not open source, which means organizations should pay more attention to their own code for vulnerabilities. Just scanning for problems in open source might not solve the main issues.
  3. Finding a balance between securing open source and proprietary software is key. We need to focus on the right vulnerabilities and not overload developers with unnecessary work.

Quick Survey on RISC-V Development

Fprox’s Substack • 83 implied HN points • 19 Jul 25
🕹 Technology Development
  1. The author is curious about how people develop using RISC-V tools and hardware. They want to see what tools are commonly used.
  2. The author shares their experience using specific tools like clang and GCC for RISC-V development. They find both useful for different tasks.
  3. A survey is included for readers to share their own RISC-V development tools and experiences. The author encourages sharing the survey with others.

When a PM takes over engineering

Leading Developers • 92 implied HN points • 01 Jul 25
🕹 Technology Development
  1. It's important for engineers to think like product people. They should understand the problem they are solving and not just build what’s written down.
  2. Good engineering managers help their teams understand the value behind technical projects, making clear connections to business goals. This helps everyone stay focused and aligned.
  3. After launching a product, teams should keep engaging with the data and user feedback to continually improve. This mindset helps engineers take ownership and see the bigger picture.

Literate Testing

Rethinking Software • 99 implied HN points • 14 Jun 25
🕹 Technology Development
  1. Literate programming is great for keeping your code and documentation together. It helps you write tests in a clear and organized way without needing extra frameworks.
  2. With literate programming, you can easily mock functions and test them directly, even in languages like C that are usually tricky to test. This makes the testing process simpler and more enjoyable.
  3. Placing tests right next to your code helps you keep everything organized and makes writing tests feel less like a chore. You start to see tests as part of your coding process rather than an extra step.

Chapter Bundles of Options

Software Design: Tidy First? • 198 implied HN points • 06 Feb 25
🕹 Technology Development
  1. Creating options in software development is essential, especially when there's uncertainty. Keeping options open increases the value of the project.
  2. Investing time in software design is important for better cohesion and less coupling. This helps the system work more efficiently together.
  3. The more you avoid tight connections between parts of the software, the more flexibility you will have. This flexibility is crucial for future changes or improvements.

Tidy Together Chapter: Long-Running Design Changes

Software Design: Tidy First? • 287 implied HN points • 30 Oct 24
🕹 Technology Development
  1. Mixing design with features is important. It's good to experiment with designs while keeping an eye on the overall features.
  2. Timing matters when tidying up your work. It's helpful to tidy design just before implementation to keep things organized.
  3. When working on design changes, you have to decide when to start, continue, or stop. It's about finding the right balance in your workflow.

Joe's Nerdy Rants - #1

Joe Reis • 157 implied HN points • 20 May 23
🕹 Technology Development
  1. Joe Reis has started a weekend newsletter about data and tech.
  2. Newsletters are great for weekend reading when people have more time.
  3. The newsletter will feature tech or data-oriented rants from Joe, offering interesting insights.

API Forking for an Adaptive Development Process

computers suck • 78 implied HN points • 31 Jan 24
🕹 Technology Development
  1. Designing a flexible API to maintain data integrity is challenging under shifting client requirements.
  2. Using the Parallel Change pattern can help handle API forking for adaptive development processes.
  3. Maintaining parity in naming and types between different interfaces is crucial for easy remerging and migration.