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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXWhy you should care about the JDBC fetch size
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Tuples and Records (Part 5): Performance Challenges
After exploring Tuples and Records in Parts 1β4βcovering JavaScript syntax, immutability, value-based equality, performance benefits, and React optimizationsβwe now examine why this ambitious proposal was ultimately withdrawn from ES2025. Despite the promise of native immutable data structures, technical challenges around structural equality, memory management, and engine optimization prevented its adoption. In this...
Built a High-Performance Key-Value Datastore in Pure Java
Hello everyone, I am excited to share a small milestone, it's the project I have been working in my free time during weekends since past 2 years. DataStore4J a key value datastore entirely written in Java, inspired by Google's LevelDB, its still under development. Iβve published some benchmarks results The performance is on par with LevelDB, and for comparison I also included Facebook's RocksDB (which is a different...
Supabase Security Best Practices: Common Misconfigurations We Keep Seeing
Hey everyone, Weβve been auditing a lot of Supabase-backed SaaS apps lately, and a few recurring patterns keep coming up. For example: RLS is either missing or misapplied, which leaves tables wide open even when teams think theyβre locked down. Edge Functions sometimes run under the service_role, meaning every call bypasses row-level security. Storage buckets are marked βpublicβ or have weak prefixes, making it easy to...
built fasterpc bc i was frustrated with the usual distributed service comms, no more rest apis, or heavy MQs
hey everyone, been working on this for a while and finally ready to share - built fasterpc bc i was frustrated with the usual distributed service comm where everything's either polling rest endpoints or dealing with heavyweight message broker infrastructures. tbh most people skip MQs entirely and just use basic http calls. basically it's bidirectional json rpc over websockets that lets python methods on different...
PostgreSQL Field Guide - The reference guide for new users
Many Postgres books discuss some advanced topics targeted towards the experienced users. Not the new or should we say novice user that may have just stumbled across Postgres while doing some development work or led by internal work projects directing them to seek out the open source. If this is you, this reference book will guide you on the journey and help you understand the overall concepts that will prepare you for...
Nytril: A programming language and a markup language in one
Nytril has a unique syntax that makes it easy to create complex documents from the results of your code. There are no "Write" or "Print" statements. The results of each expression simply become a part of the document. Here are some of the standout features and new concepts: global functions and namespaces Nytril allows global functions that do not belong to a class and have no 'this' pointer. They can also be defined...
From all truths to (ir)relevancies
Just posted a follow-up to my blog post on truth tables! This time, I'm introducing the "Standardized Truth Table" (STT) format. Using the STT, I've developed an algorithmic method to find and remove "irrelevant" variables from a boolean expression. The core idea is simple: if changing an input's value doesn't change the output, that input is irrelevant. This is super useful for simplifying logic and making digital...
How Software Engineers Make Productive Decisions (without slowing the team down)
submitted by /u/strategizeyourcareer [link] [comments]
Which is better
I have heard that claude ai is better than the premuim version of chatgpt when it comes to code. Is this true ? Is claude ai better when it comes to code ? submitted by /u/covertbee [link] [comments]
Need Help Making C Program for Macro Pad
I recently got a 12 Key, 2 Knob Macro Pad, but when testing it, it didn't get recognized by Windows. After a bit of research, I was able to get it detected in windows. However the issue didn't get solved. Therefore, I proceeded with reverse-engineering the PCB to get this schematic. After this, I tried flashing this program to the CH552G to make sure hardware wasn't the problem - and it wasn't, the switch that goes...
TargetJS: a UI framework where time is declarative (no async/await chains)
Iβve been building a small JavaScript UI framework called TargetJS and would love feedback from this community. It takes a fundamentally different approach to front-end development, especially when dealing with asynchronous operations and complex UI flows. The core idea is that it unifies everythingβUI, state, APIs, and animationsβinto a single concept called "targets." Instead of using async/await or chaining promises...
Feedbacks & Testing for Platform - Holydreamy
Hey everyone Iβm currently working on my app Holydreamy, and before launching it officially on the Google Play Store, Iβd love to have contributions from the community. Hereβs how you can help: [Join as a tester and download the app] https://play.google.com/apps/internaltest/4700629582225365158 Try it out, explore the features, and let me know what you think! If you find any bugs or issues, your feedback will be...
Be An Agnostic Programmer
Hey guys! Back with another article on a topic that's been stewing in the back of my mind for a while. Please enjoy! submitted by /u/The_Axolot [link] [comments]
How to Work with Collections in Go Using the Standard Library Helpers
In a previous articleβArrays, Slices, and Maps in Go: a Quick Guide to Collection Typesβwe explored Go's three built-in collection types and how they work under the hood. That gave us the foundation for storing and accessing data efficiently. But in ...
How to Run Python GUI Apps in GitHub Codespaces with Xvfb and noVNC
GitHub Codespaces gives you a full development environment in the cloud, directly in your browser. Itβs great for writing and running code, but thereβs one big limitation: it doesnβt support graphical applications out of the box, especially for Pytho...
Enhancing AI Privacy: Federated Learning and Differential Privacy in Machine Learning
Privacy-preserving techniques are keeping your data safe in the age of AI. In particular, federated learning (FL) keeps data local, while differential privacy (DP) strengthens individual privacy. In this article, we will discuss challenges associated with this, practical tools, and emerging trends like secure aggregation and personalized FL for stronger privacy in AI. Introduction
How I create welcome and login screen in react native with react-native-reanimated #reactnative
submitted by /u/chintanbawa [link] [comments]
Shifting Left in Software Testing: Integrating AI-Driven Early Defect Detection into Agile Development Workflows
Nobody likes bugs. Not the developers who accidentally write them, not the testers who hunt them down, and certainly not the users who stumble into them. But hereβs the kicker β according to IBM, 5 to 30% of software defects still slip into production, costing companies up to 30 times more to fix post-release than if caught early. The statistic highlights the essential nature of discovering software defects at the...
AI for Ensuring Data Integrity and Simplifying Migration in Microservices Ecosystems
Organizations implement microservices architectures to create adaptable, scalable applications that function efficiently, but must overcome significant challenges to maintain data accuracy during migration. The data sharing mechanism of microservices architecture enables beneficial advantages but produces complex data accuracy and reliability challenges. Artificial intelligence functions as a powerful instrument that...
Deploying AI Models in Air-Gapped Environments: A Practical Guide From the Data Center Trenches
Organizations are eager to harness machine learning and deep learning β but not everyone is racing to the cloud. For highly regulated industries, government entities, and security-first organizations, air-gapped environments remain essential. The question many are now asking is: How do we bring AI into air-gapped or isolated systems, and do it securely, reliably, and scalably? After nearly two decades managing on-prem...
Everything Wrong With Developer Productivity Metrics
The DORA Four were meant as feedback mechanisms for teams to improve, not as a way to compare performance across an entire org. Somewhere along the way, we lost that thread and started chasing βproductivity metricsβ instead. Martin Fowler said it best: you canβt measure individual developer productivity. Thatβs a foolβs errand. And even the official DORA site emphasizes these arenβt productivity metrics, theyβre...
Understanding Transformer Models for Language Processing
If youβve ever used Google Translate, skimmed through a quick summary, or asked a chatbot for help, then youβve definitely seen Transformers at work. Theyβre considered the architects behind todayβs biggest advances in natural language processing (NL...
How Transformer Models Work for Language Processing
If youβve ever used Google Translate, skimmed through a quick summary, or asked a chatbot for help, then youβve definitely seen Transformers at work. Theyβre considered the architects behind todayβs biggest advances in natural language processing (NL...
Building personal apps with open source and AI
Hear about the personal tools we use to improve our workflows (and how to get started building your own) on this episode of the GitHub Podcast. The post Building personal apps with open source and AI appeared first on The GitHub Blog.
Security Concerns in Open GPTs: Emerging Threats, Vulnerabilities, and Mitigation Strategies
With the increasing use of Open GPTs in industries such as finance, healthcare, and software development, security concerns are growing. Unlike proprietary models, open-source GPTs allow greater customization but also expose organizations to various security vulnerabilities. This analysis explores real-world breaches, case studies, and advanced security techniques to safeguard Open GPT deployments.
βI Got Pwnedβ: npm maintainer of Chalk & Debug speaks on the massive supply-chain attack
Hey Everyone, This week I posted our discovery of finding that a popular open-source projects, including debug and chalk had been breached. I'm happy to say the Josh (Qix) the maintainer that was compromised agreed to sit down with me and discuss his experience, it was a very candid conversation but one I think was important to have. Below are some of the highlight and takeaways from the conversation, since the βhow...
AI for Data Cleaning: How AI Can Clean Your Data and Save You Hours and Money
Dirty data is the bane of the analytics industry. Almost every organization that deals with data has had to deal with some degree of unreliability in its numbers. According to the Pragmatic Institute, data practitioners spend 80% of their time identifying, cleansing, and arranging data and 20% analyzing it. This 80/20 rule is referred to as the Pareto Principle.
Quantum Machine Learning (QML) for Developers: A Beginner's Guide
Quantum computing is transforming artificial intelligence. Traditional AI faces challenges in optimization, large-scale data processing, and security. Quantum machine learning (QML) integrates quantum mechanics with AI, offering advantages such as: Faster AI model training and inference Better pattern recognition and optimization Improved security using quantum cryptography This guide covers practical implementations...
Demystifying Kubernetes on AWS: A Comparative Analysis of Deployment Options
Kubernetes has become the industry-standard platform for container orchestration, offering automated deployment, scaling, and management of containerized applications. Its ability to efficiently utilize resources, abstract infrastructure complexities, and provide robust enterprise features makes it essential for modern application infrastructure. While Kubernetes can run on-premises, deploying on AWS provides...
The Real-time Data Transfer Magic of Doris Kafka Connector's "Data Package": Part 1
Apache Doris provides multi-dimensional data ingestion capabilities. In addition to the built-in Routine Load and Flink's support for reading from Kafka and writing to Doris, the Doris Kafka Connector [1], as an extended component of the Kafka Connect ecosystem, not only supports importing Kafka data into Doris but also relies on the vast Kafka Connect ecosystem to achieve the following features [2]: Rich Format...
Why Front-End Developers Should Understand UI/UX Design
When users interact with a website or application, the first thing they notice isnβt the code. Instead, itβs the design and experience. Smooth navigation, intuitive layouts, and visually appealing interfaces are what keep users engaged. Behind these ...
Graph rag pipeline that runs entirely locally with ollama and has full source attribution
Hey , I've been deep in the world of local RAG and wanted to share a project I built, VeritasGraph, that's designed from the ground up for private, on-premise use with tools we all love. My setup uses Ollama with llama3.1 for generation and nomic-embed-text for embeddings. The whole thing runs on my machine without hitting any external APIs. The main goal was to solve two big problems: Multi-Hop Reasoning: Standard...
Tuples and Records (Part 4): Optimize React and Prevent Re-Renders
Part 4 dives into React, showing how Tuples and Records can cut down unnecessary re-renders. By using immutable, value-based data structures, React can efficiently detect state changes, keeping your components lean and fast. Weβll explore why re-renders happen and how adopting Tuples and Records simplifies state management while boosting performance. Also read:
Prompt Engineering Cheat Sheet for GPT-5: Learn These Patterns for Solid Code Generation
When large language models like ChatGPT first became widely available, a lot of us developers felt like weβd been handed a new superpower. We could use LLMs to help us develop new coding projects, build websites, and much more β just using a few prom...