The hottest Software Development Substack posts right now

And their main takeaways
Category
Top Technology Topics

Fail Safe, Fail Smart… Succeed! (Part 2 of 3)

It Depends / Nimble Autonomy • 0 implied HN points • 29 Jul 24
🕹 Technology Software Development Project management Innovation Team Dynamics User Research
  1. Learning from failure is important. When things go wrong, take the time to understand what happened so you can do better next time.
  2. Project retrospectives help teams reflect on their work. These meetings let everyone share what went well and what didn't without placing blame.
  3. To reduce the risks of failure, use a step-by-step approach to launching new features. Start small, gather feedback, and make improvements before a full release.

Securing the Software Supply Chain

Resilient Cyber • 0 implied HN points • 22 Nov 22
🕹 Technology Cybersecurity Software Development Supply Chain Information Security Open Source
  1. Software supply chain security is becoming more important due to recent cybersecurity incidents. Developers, suppliers, and customers all play key roles in keeping software secure.
  2. Using secure development practices, like threat modeling and regular security testing, helps prevent vulnerabilities from being introduced. It's crucial to have proper processes and training for developers.
  3. Organizations should verify third-party components and ensure a secure build environment to avoid compromising software. Having clear policies and tools in place can significantly reduce the risk of software supply chain attacks.

Breaking Down the DoD Software Modernization Strategy

Resilient Cyber • 0 implied HN points • 22 Nov 22
🇺🇸 U.S. Politics Government Policy Defense Strategy Cybersecurity Software Development National Security
  1. The DoD aims to modernize its software to keep up with technology and improve national security. This modernization will help deliver better tools to military operations and humanitarian efforts.
  2. A big focus is on using cloud technology and DevSecOps for faster software delivery. This means creating safer software that can adapt quickly to changing needs.
  3. Changing policies and processes is just as important as new technology. The DoD needs to make sure the people involved are on board and that rules are updated to help speed up innovation.

Mastering Helm from Scratch: Part 0 – Getting Started with Your Helm Journey

Curious Devs Corner • 0 implied HN points • 01 Oct 24
🕹 Technology Cloud Computing DevOps Kubernetes Software Development
  1. You will learn how to use Helm, which helps manage applications in Kubernetes. The course starts with the basics and builds up to more advanced topics.
  2. This course is great for anyone interested in cloud technologies, especially developers and system admins. You don't need to be an expert, but some basic Kubernetes knowledge is helpful.
  3. Hands-on exercises are included to make learning practical and fun. There's also a bonus workbook and quiz to reinforce what you learn.

How To Build a Japanese Pronunciation Checker With Python and Wit.ai

Curious Devs Corner • 0 implied HN points • 02 Sep 24
🕹 Technology Software Development Programming Languages Natural Language Processing Open Source Artificial Intelligence
  1. You can build a Japanese pronunciation checker using Python and Wit.ai. It's a fun way to practice speaking Japanese and get instant feedback.
  2. The app works by recording your voice and comparing it to a list of Japanese words you want to learn. If the app recognizes your speech correctly, your pronunciation is good.
  3. You can customize this tool for other languages too, making it a great project for anyone wanting to improve their language skills.
Get a weekly roundup of the best Substack posts, by hacker news affinity:

Craft Powerful Bash Pipelines with the Unix Xargs Command

Curious Devs Corner • 0 implied HN points • 28 Aug 24
🕹 Technology Programming Command-line Unix Software Development Scripting
  1. The `xargs` command helps to build and run new commands by passing input from one command to another. It's particularly useful when you want to handle lots of files at once.
  2. You can use `xargs` with commands like `find` to perform specific actions on multiple files, making tasks like deleting or renaming files easier.
  3. By using options like `-p` and `-n`, you can interactively confirm actions and control how many arguments are processed at a time, allowing for safer execution of commands.

Master Dynamic Queries in Spring JPA

Curious Devs Corner • 0 implied HN points • 13 Jul 24
🕹 Technology Software Development Programming Data Management Web Development Database Design
  1. You can create fully dynamic queries in Spring JPA based on user input. This allows users to choose which columns to select and how to group them.
  2. When using 'group by', all non-aggregated columns from the select statement must be included in the group clause. Otherwise, you'll get an error.
  3. Using the Java Persistence Criteria API can help effectively manage these dynamic queries and avoid common issues.

Curious Devs Corner

Curious Devs Corner • 0 implied HN points • 07 Jul 24
🕹 Technology Software Development Cloud Computing DevOps Artificial Intelligence Engineering Practices
  1. Curious Devs Corner is a publication for IT professionals looking to learn more about technology. It covers various topics like Spring Boot, Cloud, and AI to help developers grow their skills.
  2. The publication offers easy-to-follow tutorials and hands-on experiences. This makes it a great resource for those who enjoy practical learning when exploring new technologies.
  3. It's designed especially for developers who are curious and want to stay updated on the latest trends in the tech world. This could be a valuable tool for anyone wanting to advance their knowledge.

Join the Open Source Pledge!

Weekly PHP • 0 implied HN points • 15 Oct 24
🕹 Technology Open Source Software Development Web Development
  1. Joining the Open Source Pledge helps support open source projects by encouraging companies to pay their maintainers. This initiative aims to reduce burnout and improve security issues in the software.
  2. PHP offers powerful techniques for manipulating arrays, making them essential for managing multiple values. Learning these techniques can significantly improve your coding efficiency.
  3. Laravel has various features like SoftDelete and full-text search that help enhance data management. Understanding these tools can make building applications much easier and more effective.

When not to DRY

Vatsal’s Substack • 0 implied HN points • 20 Feb 24
🕹 Technology Software Development Programming Best Practices Project management
  1. In the early stages of a project, it's okay to duplicate code. This can help you experiment and try out different ideas without getting bogged down.
  2. Sometimes, trying to make code too simple can make it confusing. If making code DRY makes it hard to understand, a bit of repetition might be better.
  3. In situations where speed is crucial, duplicating code can actually improve performance. Sometimes, it's more important to focus on speed than to keep everything sleek and minimal.

HN blogs - 30/10/24

HackerNews blogs newsletter • 0 implied HN points • 30 Oct 24
🕹 Technology Software Development Web Development Data science Programming Cloud Computing
  1. Upgrading tech can be simpler than it seems. One person managed to upgrade their project from Rails 7 to Rails 8 in just 30 minutes.
  2. Project management practices like Scrum can be improved. It's possible to adopt better methods that actually make the process easier for everyone involved.
  3. There are many useful tools and techniques in web development. Learning about things like PostgreSQL pagination or certificate authentication can really enhance your skills.

HN blogs -24/10/24

HackerNews blogs newsletter • 0 implied HN points • 24 Oct 24
🕹 Technology Software Development Web Development Data Management Programming Languages Tech Reviews
  1. Migrating from I3 to Sway on Wayland can improve your user experience. It's a process worth exploring for better desktop management.
  2. Using PostgreSQL recursive CTEs can help in effectively retrieving data from graph structures. This technique can be a game changer for handling complex data queries.
  3. Thinking carefully about framework choices in software development is important. Relying too much on convenient tools can stifle innovation and creativity.

HN blogs - 16/10/24

HackerNews blogs newsletter • 0 implied HN points • 16 Oct 24
🕹 Technology Software Development Cybersecurity Data Analysis Tech Leadership Web Development
  1. Using Strace can help you track specific system calls instead of every single one, making it easier to debug problems.
  2. Technical leaders should be aware of common decision-making mistakes that can affect their teams and projects.
  3. Understanding the right way to use string parameters in coding can improve your programming practices and avoid confusion.

HN blogs - 14/10/24

HackerNews blogs newsletter • 0 implied HN points • 14 Oct 24
🕹 Technology Software Development Web Development Artificial Intelligence Programming Languages DevOps
  1. Early praise for projects can actually hurt their success. It's important to be cautious about giving too much positive feedback too soon.
  2. Modern technology, like large language models, can help update old applications more efficiently and at a lower cost. This means businesses can save time and money when refreshing their software.
  3. Trust is a crucial element in teamwork and collaboration. When people trust each other, it can lead to better outcomes in projects and relationships.

Mastering Window Functions: Your Gateway to Advanced SQL Analytics

DataSketch’s Substack • 0 implied HN points • 07 Oct 24
🕹 Technology Data Engineering SQL Analytics Software Development Database Management
  1. Window functions let you do calculations across rows related to your current row without losing any details. This helps you get both summarized and detailed data at the same time.
  2. Using window functions can make complex data tasks easier, like ranking items or finding running totals. They are very helpful in fields like healthcare to analyze patient data and improve efficiency.
  3. It's important to test how window functions perform on a smaller dataset before using them widely. Combining multiple window functions and partitioning your data smartly can also boost performance.

Harnessing Data Architecture: Practical Models and SQL Solutions

DataSketch’s Substack • 0 implied HN points • 26 Mar 24
🕹 Technology Data Engineering Database Design Software Development Information Systems Data Analytics
  1. Creating effective data models is crucial for businesses to organize and use their data efficiently.
  2. Different industries like eCommerce, healthcare, and retail have unique data needs that can be addressed with tailored database solutions.
  3. Understanding SQL and how to create tables and relationships helps in developing strong data architecture.

Is dbt Labs cannibalizing the modern data stack with dbt Cloud?

clkao@substack • 0 implied HN points • 18 Oct 24
🕹 Technology Data Management Software Development Cloud Computing Data Analytics Machine Learning
  1. dbt Labs is expanding its features to create a more unified data platform. This means users won’t need multiple tools since dbt can handle many basic data needs.
  2. Applying software development practices to data workflows can be tricky. The way we test data is different, and adopting these practices hasn’t been easy for everyone.
  3. Recce is designed to improve the software development workflow for data. It helps users validate changes easily and ensures everyone understands what correctness means in the data context.

My experience building an app entirely via an LLM

Talking to Computers: The Email • 0 implied HN points • 14 Aug 24
🕹 Technology AI Tools Software Development User Experience Iterative design App Development Code Quality
  1. Using AI tools like Claude can speed up app development, especially for small coding tasks. But, it's not perfect and sometimes leads to unexpected issues.
  2. Designing the app can be tough, as AI might not help much with styling. You might end up doing more work to fix design flaws after the initial code is generated.
  3. Even when using an AI, having some coding knowledge is important. You still need to understand what changes to make and how to fix problems that come up.

Handling Typos to Increase Speed to Success

Talking to Computers: The Email • 0 implied HN points • 29 May 24
🕹 Technology Search Engines User Experience Data processing Software Development Information Retrieval
  1. Handling typos in search helps users find what they want faster, even if they misspell words. It makes the search experience easier for people who are not perfect spellers.
  2. Search engines use techniques like Levenshtein distance to manage typos, so they rank search results based on how closely they match users' misspelled queries.
  3. Contextual typo tolerance improves search results by considering the meaning behind the words, which is often missing in smaller e-commerce sites. This way, users get more relevant suggestions rather than just similar-looking words.

Running a Local Vision Language Model with LM Studio to sort out my screenshot mess

machinelearninglibrarian • 0 implied HN points • 23 Oct 24
🕹 Technology Machine Learning Artificial Intelligence Software Development Data processing
  1. Using a local Vision Language Model (VLM) can help organize your messy screenshots effectively. It allows you to categorize images based on their content, making it easier to find them later.
  2. Running local models has become simpler, especially with tools like LM Studio. It includes features like headless mode for background processing and support for both text and images.
  3. Structured outputs from models can enforce formats for responses, making it easier to process and utilize the data generated. This way, tasks like sorting images become more consistent and manageable.

Generating a dataset of queries for training and fine-tuning ColPali models on a UFO dataset

machinelearninglibrarian • 0 implied HN points • 23 Sep 24
🕹 Technology Machine Learning Artificial Intelligence Data science Software Development Computer Vision
  1. ColPali is a new model that combines text and images to improve how we find documents. It looks at both the words and the visual parts of a page, making it smarter than older text-only methods.
  2. To train ColPali, we need a dataset that pairs document images with questions about what those documents contain. This helps the model learn how to match questions with the right visual information.
  3. Using a special model called Qwen2-VL, we can create specific and relevant queries from images. This can help refine the dataset even more by making sure the questions are useful for retrieving information.

Tracing Text Generation Inference calls

machinelearninglibrarian • 0 implied HN points • 05 Apr 24
🕹 Technology Artificial Intelligence Machine Learning Open Source Software Development Data science
  1. To trace text generation calls, you can use Langfuse with OpenAI integration in your code. This allows you to monitor how your text generation model is performing.
  2. You'll need to set up your secret keys and environment variables to connect to the Langfuse service. Make sure to store your sensitive keys securely.
  3. The example provided shows how to make a chat completion call and receive responses from a model. It's a handy way to see how AI can generate text based on user input.

Extracting Insights from Model Cards Using Open Large Language Models

machinelearninglibrarian • 0 implied HN points • 27 Nov 23
🕹 Technology Machine Learning Data science Artificial Intelligence Open Source Software Development
  1. Model Cards are important for sharing details about machine learning models, but they can vary greatly in format and focus. This makes it hard to know how to find or categorize the information they contain.
  2. There are over 400,000 models on the Hugging Face Hub, and extracting specific details, like the datasets used or evaluation metrics mentioned, could help create clearer guidelines and metadata.
  3. Using open large language models can help annotate and discover key concepts from the diverse data in Model Cards, making it easier to analyze and understand various models and their attributes.

How to load a Hugging Face dataset into Qdrant?

machinelearninglibrarian • 0 implied HN points • 08 Nov 23
🕹 Technology Machine Learning Data Management Software Development Artificial Intelligence Programming
  1. You can easily load a Hugging Face dataset into Qdrant using simple Python code. Just install the necessary libraries and use the load_dataset function.
  2. Once your dataset is loaded, you can create a Qdrant collection to store and manage your data. This lets you perform tasks like searching for similar articles based on their embeddings.
  3. There are ways to optimize the process of adding data and searching within Qdrant. For example, batching the data can make it faster and smoother.

How to do groupby for Hugging Face datasets

machinelearninglibrarian • 0 implied HN points • 18 Sep 23
🕹 Technology Machine Learning Data science Programming Software Development Data Analysis
  1. Hugging Face's datasets don't have built-in groupby features, but you can use Polars to handle this. You can load datasets with Polars and perform group operations easily.
  2. Polars allows you to work with large datasets efficiently using lazy evaluation. This means you can process data without needing to load everything into memory all at once.
  3. You can visualize data comparisons after grouping by specific columns, making it easier to understand patterns or insights from the data.

Exploring language metadata for datasets on the Hugging Face Hub

machinelearninglibrarian • 0 implied HN points • 07 Jun 23
🕹 Technology Machine Learning Data science Programming Artificial Intelligence Software Development
  1. The Hugging Face Hub provides datasets that can be filtered based on available language metadata. It helps identify which datasets contain specific language information.
  2. There are many languages represented in the datasets, with a total of 1719 unique languages noted. This diversity is important for developing models that support different languages.
  3. Visual tools like bar charts and word clouds can effectively represent language frequencies in datasets. These visuals make it easier to understand the distribution and popularity of different languages.

Dynamically updating a Hugging Face hub organization README

machinelearninglibrarian • 0 implied HN points • 07 Mar 23
🕹 Technology Machine Learning Data science Software Development Web Development Automation
  1. You can use the huggingface_hub library to automatically create and update a README for your Hugging Face organization. This helps keep your information organized without needing to make manual changes.
  2. By listing and grouping datasets by tasks, it makes it easy to see what datasets are available for different activities. This organization helps others find the resources they need quickly.
  3. Using a templating engine like Jinja2 allows you to create a polished and updated README format. It makes the information visually appealing and easier to understand.

Using Hugging Face AutoTrain to train an image classifier without writing any code.

machinelearninglibrarian • 0 implied HN points • 22 Feb 23
🕹 Technology Machine Learning Artificial Intelligence Data science Computer Vision Software Development
  1. You can train an image classifier with Hugging Face AutoTrain without needing to write any code. This makes it easier for people who aren't programmers to use machine learning.
  2. Image classification is useful for organizing images into categories, like sorting book covers into 'useful' or 'not useful'.
  3. The success of your model often depends more on having good training data than on the model itself. Adjusting and improving your training data can lead to better results.

Combining Hugging Face datasets with dask

machinelearninglibrarian • 0 implied HN points • 20 Jun 22
🕹 Technology Machine Learning Data science Software Development Data processing Programming
  1. Hugging Face datasets help you load, process, and share data easily, but they can be tricky for exploring data. Using Dask together with Hugging Face makes data analysis smoother, especially for larger datasets.
  2. Dask allows you to run operations in parallel, which is useful if your data can't fit into memory. You can use Dask's different collection types, like dask bag, to process data efficiently by breaking it into smaller chunks.
  3. Dask dataframes work like pandas dataframes, making it easier to perform complex operations. This includes grouping data and calculating averages, which you can visualize just like you would with pandas.

Using 🤗 datasets for image search

machinelearninglibrarian • 0 implied HN points • 13 Jan 22
🕹 Technology Artificial Intelligence Machine Learning Data science Computer Vision Software Development
  1. You can use the Hugging Face datasets library to create an image search application easily, allowing you to search images effectively.
  2. The library supports different ways to handle images, like reading from file paths or NumPy arrays, which makes it flexible for usage.
  3. It's important to consider potential biases and performance variability when deploying models for image searches, especially with varied datasets.

Using the 🤗 Hub for model storage

machinelearninglibrarian • 0 implied HN points • 30 Dec 21
🕹 Technology Machine Learning Software Development Data Storage Open Source
  1. The 🤗 hub is a useful space for sharing and finding machine learning models. It's great for avoiding duplicate work and helps others use or adapt models easily.
  2. Using the huggingface_hub library can simplify working with models stored on the 🤗 hub. It allows for downloading, updating, and managing models more efficiently than using GitHub alone.
  3. You can also upload models directly to the 🤗 hub, making the process smoother after training. Additionally, creating revision branches for models helps manage different versions better.

flyswot

machinelearninglibrarian • 0 implied HN points • 22 Dec 21
🕹 Technology Machine Learning Computer Vision Data Management Image Processing Software Development
  1. The project aims to use computer vision to find and correct mislabeled images in a library's digitized manuscript collection. This will help ensure that images are accurately categorized for future use.
  2. A command line tool called 'flyswot' has been developed to check images for fake labels based on specific filename patterns. This tool helps automate the identification process.
  3. Throughout the project, important lessons were learned about practical machine learning deployment, such as dealing with domain drift and using data version control effectively.

💥 TTW #35: Design Patterns for Resilient Data Pipelines, Constructive Code Reviews, Exciting new features in C# 9 - 12, Async Functions In Python 2.1, Vertical Slice Architecture, ...

Tech Talks Weekly • 0 implied HN points • 31 Oct 24
🕹 Technology Software Development Data Engineering Programming Languages Code Review
  1. Data pipelines can be made more reliable by using specific design patterns. This helps in managing data flow more efficiently.
  2. Constructive code reviews are important for improving code quality. They can help developers learn and grow by giving helpful feedback.
  3. Learning about new features in programming languages like C# can enhance your coding skills. It's exciting to see how these changes can simplify tasks in software development.

💥 Tech Talks Weekly #34: What Is This OpenTelemetry Thing?, CI/CD Patterns and Antipatterns, Transactional Outbox & Inbox patterns, Java's Hidden Gems, Reliability Engineering at Zalando

Tech Talks Weekly • 0 implied HN points • 24 Oct 24
🕹 Technology Software Development Data Management Open Source API Development
  1. OpenTelemetry helps developers track how well their software works across different systems. It makes it easier to find and fix problems in applications.
  2. Understanding good and bad practices in CI/CD can improve your software delivery process. Knowing these patterns can save time and avoid common mistakes.
  3. The transactional outbox and inbox patterns ensure that messages between systems are delivered safely. They help prevent lost messages, especially in complex applications.

💥 Tech Talks Weekly #32: Devoxx Belgium, Beam Summit, PyCon DE and many more!

Tech Talks Weekly • 0 implied HN points • 12 Oct 24
🕹 Technology Software Development Conferences Programming Languages DevOps Machine Learning
  1. There are many new tech talks available from popular conferences like Devoxx Belgium and PyCon DE. It's a great chance to learn from experts in the field.
  2. Tech Talks Weekly is a free newsletter that delivers the latest tech talks right to your inbox, making it easier to keep up with new ideas and trends.
  3. Engaging with the community by sharing about Tech Talks Weekly or providing feedback can help create better content and foster collaboration among tech enthusiasts.

💥 Tech Talks Weekly #21

Tech Talks Weekly • 0 implied HN points • 04 Jul 24
🕹 Technology Conferences Programming AI Data science Software Development
  1. This weekly newsletter shares new tech talks from various conferences to keep you updated. It's a great way to discover fresh content on technology topics.
  2. You can subscribe for free and join a community of over 1400 readers. It's easy to unsubscribe if you want, and there's no spam.
  3. Featured talks include important topics like legacy code migrations and deep learning. Watching these talks can help enhance your understanding and skills in tech.

Tech Talks Weekly #15 ☀️: QCon London '24, Devoxx UK '24, React Conf '24, ...

Tech Talks Weekly • 0 implied HN points • 23 May 24
🕹 Technology Conferences Software Development Programming Languages Tech Talks AI Applications
  1. This week features talks from major tech conferences like QCon London, Devoxx UK, and React Conf. It's a great chance to learn about the latest in technology and software development.
  2. The newsletter shares must-watch talks, helping you stay updated on important topics like engineering strategy and using databases. These sessions can provide valuable insights for tech professionals.
  3. There are links to new uploads from various conferences, making it easy to explore different subjects. You can quickly find content based on your interests and the most popular talks.

Tech Talks Weekly #12 🎉

Tech Talks Weekly • 0 implied HN points • 02 May 24
🕹 Technology Software Development Programming Languages Tech Conferences Web Development Code Quality
  1. This week's Tech Talks Weekly features talks from various tech events, making it easy to discover new topics and speakers.
  2. Each featured talk now includes a short summary, which helps readers quickly find interesting subjects.
  3. The community is encouraged to give feedback via surveys to improve the content and experience of Tech Talks Weekly.

Tech Talks Weekly #10 ☀️ ☀️ ☀️

Tech Talks Weekly • 0 implied HN points • 17 Apr 24
🕹 Technology Software Development Programming Languages Conferences Tech Talks Open Source
  1. Tech Talks Weekly shares fresh talks from various tech conferences, including GOTO, Node Congress, and KubeCon. These talks cover different topics and are available for viewers to watch.
  2. There are special editions of Tech Talks that highlight specific themes, like all Python conference talks from 2023. This gives viewers more focused content on popular subjects.
  3. An anonymous Google form is available for the audience to share their interests. This helps improve the weekly content by catering to what viewers want to see.