The hottest Debugging Substack posts right now

And their main takeaways
Category
Top Technology Topics

Console #189 - Interview with Elia of Opal - a Ruby to JavaScript source-to-source compiler

Console • 413 implied HN points • 24 Dec 23
🕹 Technology Programming Open Source Web Development Software Tools Debugging
  1. Opal is a source-to-source compiler that converts Ruby to JavaScript.
  2. Opal leverages the underlying JavaScript engine for speed, size, and debugging benefits.
  3. The project Opal aims to continue improving by exploring features like dead-code-elimination and better module support.

Daily bit(e) of C++ | Hardened mode of standard library implementations

Daily bit(e) of C++ • 78 implied HN points • 20 Jan 24
🕹 Technology Programming Software Development Security Debugging
  1. Dealing with assumptions in programming can be risky, especially in C++ where a violated assumption can lead to undefined behavior.
  2. Proper engineering practices like good unit test coverage and sanitizers can help catch bugs, but sanitizers may not detect all issues, particularly at the library level.
  3. Using the hardened mode of standard library implementations like stdlibc++ and libc++ can provide safety features against specific attacks and checks without affecting ABI, enhancing development experience.

Intro to PDB, the Python Debugger

Bite code! • 733 implied HN points • 09 May 23
🕹 Technology Programming Debugging Tips Python
  1. PDB is a basic but useful debugger that comes with Python by default, allowing you to pause programs, enter a debugging shell, and analyze program states.
  2. Learning to use PDB is valuable because it helps you understand debugging fundamentals, and knowing PDB can translate to using other debuggers as well.
  3. PDB offers various helpful commands like 'help', 'quit', 'list', 'next', 'continue', 'until line', 'jump line', 'display', 'step', 'return', 'up', and 'down' for effective debugging in Python.
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Some ways Software Engineers can 10x results with Bayesian Thinking [Math Mondays]

Technology Made Simple • 199 implied HN points • 13 Jun 23
🕹 Technology Software Engineering Machine Learning Inference Debugging Decision-making
  1. Bayesian Thinking can improve software engineering productivity by updating beliefs with new knowledge.
  2. Bayesian methods help in tasks like prioritizing, A/B testing, bug fixing, risk assessment, and machine learning.
  3. Using Bayesian Thinking in software engineering can lead to more efficient and effective decision-making.

The Messy Page

Register Spill • 216 implied HN points • 07 May 23
🕹 Technology Software Engineering Programming Debugging AI
  1. The author prefers messy projects over greenfield projects because they provide more certainty and direction.
  2. Having clear product-market fit and defined requirements make a project enjoyable to work on.
  3. The author finds debugging appealing due to its clear requirements and the assurance that efforts won't be wasted.

Top 10 Signs of an Inexperienced Programmer and How to Avoid Them

Brain Bytes • 39 implied HN points • 29 Nov 23
🕹 Technology Programming Software Development Debugging Libraries
  1. Always prioritize the user in programming. User feedback is essential for creating successful products.
  2. Plan before you code. Having a clear plan and design prevents bugs and ensures your code aligns with your goals.
  3. Keep your code organized and clean to work efficiently. Avoid overcomplicating solutions and remember to follow best coding practices.

Swift Tooling: Windows Edition

Speaking in Swift by The Browser Company • 4 HN points • 07 Mar 24
🕹 Technology Development Tooling IDE Debugging Extensions
  1. Swift development on Windows is productive and ready for industry use, with a mature environment for writing code and continuous improvements to the developer experience.
  2. Visual Studio Code is the preferred development environment, offering essential features like building, debugging, auto-complete, error reporting, and more for Swift programming on Windows.
  3. Swift developers on Windows have access to a range of tools like SPM, CMake, LLDB, and Windows-specific debugging tools like WinDbg and Windows Performance Analyzer for efficient building, testing, and debugging of Swift code.

Lab notebooks

Only Wonder Knows • 58 implied HN points • 01 Sep 23
🕹 Technology Electronics Note Taking Debugging Tools
  1. Recording funny things in lab notebooks can save time and provide valuable insights for future work.
  2. Using a notebook for design work, organizing content, and including references can help centralize information.
  3. Taking oscilloscope captures, naming signals, and recording measurement values are important steps for effective debugging.

Debug Manual (for non technicals)

Marcio Klepacz • 5 implied HN points • 01 Feb 24
🕹 Technology Troubleshooting Software Hardware Connections Debugging
  1. Knowing how to debug is essential in a software-driven world, and it's a skill accessible to everyone.
  2. When troubleshooting, changing the environment, variables, or connections can lead to identifying and fixing issues.
  3. Resetting the environment, variables, or connections is a fundamental step in troubleshooting, and providing detailed information to technical support can be helpful.

💎Crystal the language for humans💎

Deus In Machina • 36 implied HN points • 27 Apr 23
🕹 Technology Programming Documentation Community Debugging
  1. Crystal programming language aims to be a 'batteries included language' with a rich standard library that mimics Ruby behavior.
  2. Crystal has good cross-platform support, with macOS and Linux well-supported and Windows improving.
  3. Crystal makes documentation and testing easy, using markdown for comments and providing a built-in testing framework.

The Rubber Duck Method for Debugging [Technique Tuesdays]

Technology Made Simple • 59 implied HN points • 13 Sep 22
🕹 Technology Programming Debugging Interviews Learning Career
  1. The Rubber Duck Method is a powerful tool for debugging code, helping identify both logical and runtime errors as you explain your code to a rubber duck.
  2. Speaking out loud while explaining your thought process can help you make connections and insights, preventing your brain from skipping steps and making more errors.
  3. In interviews, treating your interviewer as a rubber duck by verbalizing your thoughts can improve your problem-solving skills and communication, impressing the interviewer.

MSP430 I2C, and Trusting ChatGPT Wasted Weeks of My Life

Saying Less • 19 implied HN points • 28 Jun 23
🕹 Technology Microcontrollers Debugging
  1. Hardware communication involves protocols like I2C, UART, and SPI for connecting microcontrollers with peripherals.
  2. In I2C communication, there are master and slave devices, and the correct implementation details are crucial for success.
  3. Consulting the manufacturer's datasheet is essential for troubleshooting hardware issues, despite guidance from tools like ChatGPT.

TIL 1: Running coqui-ai/TTS on my M2

Omar’s Newsletter • 19 implied HN points • 18 May 23
🕹 Technology Programming Python Debugging
  1. The user successfully ran Coqui-ai's TTS library on their M2 MacBook after debugging some Python code.
  2. The issue was related to the M2 chip on the laptop, causing a memory error and program crash.
  3. By using Python's built-in debugger and modifying a specific line of code, the user was able to fix the error and run the program successfully.

Local first development

Hasen Judi • 2 HN points • 29 Apr 23
🕹 Technology Development Tools Debugging
  1. Local development should be seamless with quick edit/run cycles and interactive debugging.
  2. Start with the development experience you want and work backwards to the technology, don't just follow common trends blindly.
  3. Prioritize what you want in a development experience, like quick startup time, minimal commands, and effective type checking.

Making software user-extendable

How Software "Sells Itself" • 2 HN points • 18 Feb 23
🕹 Technology Software Development User Interface Debugging Serverless Computing
  1. Enterprise software often lacks user-extendability, leading to workarounds or completely custom tools.
  2. Having a user-friendly code editor can simplify adding custom functionality to software.
  3. Modern technologies like Monaco and serverless platforms make it feasible to achieve user-extendability and advanced debugging features.

NSA Open Sourcing Tools?

Barn Lab • 0 implied HN points • 10 Feb 24
🕹 Technology Security Software Open Source Debugging
  1. NSA released Ghidra as an open-source reverse engineering tool, making it popular in college curriculums and cybersecurity operations.
  2. Ghidra is valued for its ability to analyze and secure software without running potentially malicious code directly on the host system.
  3. Tools like BinWalk for firmware extraction and platforms like Crackmes.One offer resources for legal software cracking and reverse engineering exploration.

Workflow orchestrators: Metaflow, Kedro, Luigi, Airflow, Flyte, Prefect and others

Data Science Daily • 0 implied HN points • 05 Apr 23
🕹 Technology Comparison Integration Design Debugging
  1. There are numerous workflow orchestrators available for data scientists to choose from.
  2. Consider the tool's design, local/remote running capabilities, and ease of interacting with output when selecting a workflow orchestrator.
  3. Choose a workflow orchestrator based on your specific use case, whether it's for data engineers, ML engineers, or data scientists.