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#General #Development #Mobile Development #Cloud & DevOps #Cybersecurity & Privacy #AI & Data Science #Hardware & Gadgets #Design & UXHow to Implement the SOLID Principles in Flutter and Dart
When building Flutter applications, itβs easy to get caught up in writing code that just works. But as your app grows in size and complexity, poorly structured code becomes harder to maintain, test, and extend. Thatβs where the SOLID principles come ...
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Building Regulated AI Systems at Scale: Frameworks for Effective Governance
As artificial intelligence transitions from isolated research projects to mission-critical infrastructure underpinning financial services, healthcare, and public safety systems, the governance of these systems becomes essential rather than optional. The rapid evolution of AI capabilities has outpaced our governance frameworks, creating an urgent need for architectures that balance innovation with responsibility and...
Implementing Governance on Databricks Using Unity Catalog
Data governance has historically been the least glamorous part of data engineering. Engineers thrive on building things, designing scalable pipelines, curating high-quality datasets, and enabling machine learning models that deliver real business impact due to business demands. Governance, on the other hand, is often seen as red tape, including permissions, audit logs, compliance checks, and documentation. It doesnβt...
Exploring CodeIgniter 4: A Look at This PHP Framework
A recent forum discussion on CodeIgniter 4 highlights a debate over its perceived clutter, with one developer frustrated by the framework's abundance of files and configurations. The exchange underscores the active, supportive community, recommending the manual for deeper insights into services and configs, while acknowledging that growth in frameworks can sometimes feel like bloat for those seeking minimalism....
Spec-driven development: Using Markdown as a programming language when building with AI
I coded my latest app entirely in Markdown and let GitHub Copilot compile it into Go. This resulted in cleaner specs, faster iteration, and no more context loss. The post Spec-driven development: Using Markdown as a programming language when building with AI appeared first on The GitHub Blog.
From 0.68 to 10 Requests/Second: Optimizing LLM Serving With vLLM
GPUs are essential for running large language models (LLMs). But when companies deploy LLMs to production, having powerful GPUs alone isn't enough. What becomes equally important is handling available GPUs efficiently, so that multiple concurrent user requests can be served within sub-second response times. This requires a software layer above GPUs that can provide request batching, memory optimization, and dynamic...
Caching Mechanisms Using Spring Boot With Redis or AWS ElastiCache
To decrease latency, improve responsiveness, and lessen database loads, caching has become crucial for today's performance-demanding applications. Successful caching strategies can be implemented by developers using Redis or AWS ElastiCache in conjunction with Spring Boot's elegant caching abstraction. Low-latencyresponses, high throughput, cost-effectiveness, and scalability are all becoming more and more important...
Creating Real-Time Dashboards Using AWS OpenSearch, EventBridge, and WebSockets
If you've attempted to build a dashboard, then you're familiar with the hassle of polling. You hit your API every couple of seconds, grab updates, and pray your data doesn't feel stale. However, if we're being honest, polling is inefficient, wasteful, and antiquated. In the modern era, users expect supplies to be dynamic and flowing. We, as developers, should meet that expectation without melting our servers. In this...
Common Slice Mistakes in Go and How to Avoid Them
Slices are one of the most fundamental and powerful data structures in Go. They provide a dynamic array-like interface that's both flexible and efficient. However, they can be very tricky when implementing. And if not implemented correctly, they can ...
Building GitOps Pipelines With Helm on OpenShift: Lessons From the Trenches
After spending the last two years knee-deep in Kubernetes deployments and watching too many "quick fixes" turn into production incidents, I've become a true believer in GitOps. Not because it's the latest buzzword, but because it actually works when you need to sleep at night. Last month, our team finally finished migrating our entire microservices platform to a GitOps workflow using Helm and OpenShift. It wasn't...
Experts Say This Is the Best LLM for Front-End Tasks
Front-end development is seeing a new wave of automation thanks to large language models (LLMs). From generating UI code to reviewing pull requests, these AI models promise to speed up workflows. But which LLMs truly shine for front-end tasks? We found three experts who had shared their opinions on this topic. In this article, we will analyze their findings and opinions and try to understand which models deliver the...
Organic Growth vs. Controlled Growth: What Kind of Garden Is Your Codebase?
I wrote down some thoughts on organic growth vs. controlled growth. Please let me know if you have any feedback :) submitted by /u/teivah [link] [comments]
Scoped Filtering: A Practical Bridge to RBAC
Youβre a startup fresh out of your development-focused cycle, starting to gain traction and demo your product to potential clients. As someone working at a freshly minted Series A company, I understand the priority: get the product working. In our case, that meant demonstrating our data insights solution worked β before implementing sophisticated (but necessary) controls like role-based access control (RBAC). But now,...
Turning investments into impact: Stack Overflow for Teams 2025.7
Over the past few releases, weβve been investing in the foundation of Stack Overflow for Teamsβstrengthening infrastructure, modernizing integrations, and preparing for bigger shifts to come.
The Secret to Fast-Tracking Legacy System Modernization With GenAI
βGenerative AI is shifting from coding assistants to enterprise transformation, enabling organizations to analyze and modernize complex legacy systems.β β Gartner, Generative AI for Enterprise Transformation, 2024 Generative AI (GenAI) is often framed as a tool for accelerating developer productivity, with most discussions centering on code generation. Although that narrative captures attention, it fails to address a...
Master Advanced Error-Handling to Make PySpark Pipelines Production-Ready
In PySpark, processing massive datasets across distributed clusters is powerful but comes with challenges. A single bad record, missing file, or network glitch can crash an entire job, wasting compute resources and leaving you with stack traces that have many lines. Sparkβs lazy evaluation, where transformations donβt execute until an action is triggered, makes errors harder to catch early, and debugging them can feel...
AI Risks in Product
TL; DR: AI Risks β Itβs A Trap! AI is tremendously helpful in the hands of a skilled operator. It can accelerate research, generate insights, and support better decision-making. But hereβs what the AI evangelists wonβt tell you: it can be equally damaging when fundamental AI risks are ignored. The main risk is a gradual transfer of product strategy from business leaders to technical systems β often without anyone...
As your AI gets smarter, so must your API
Ryan sits down with Marco Palladino, CTO of Kong, to talk about the rise of AI agents and their impact on API consumption, the MCP protocol as a new standard for agents, the importance of observability and security in AI systems, and the importance for businesses and entrepreneurs to leverage opportunities in the agentic AI space now.
Postgres is reliable - I'll persist in Redis-compatible Database
Just inspired by https://dizzy.zone/2025/09/24/Redis-is-fast-Ill-cache-in-Postgres/ I agreeβfewer moving parts is a win, when the workload fits. Postgres is a reliable and versatile database, but like every system, it has boundaries. Once workloads push beyond the limits of a single node, itβs useful to understand where the pressure points are. Two common bottlenecks stand out: Hot data growth β as the active dataset...
5 Manual Testing Techniques Every Tester Should Know
Despite rapid advancements in test automation and the use of AI in software testing, manual testing is still a fundamental part of software Quality Assurance in 2025. Recent data from multiple industry reports confirm the ongoing value of manual testing in comparison to test automation. For example, only about 5% of companies perform fully automated testing, meaning all test cases are automated without manual...
How Does the Morgan Express Middleware Library Work? Explained with Code Examples
Morgan is an Express middleware library that examines HTTP requests and logs details of the request to an output. It is one of the most popular Express middleware libraries with over 8,000 GitHub stars and more than 9,000 npm libraries dependent on i...
How to Integrate AI APIs Into Your Projects
Artificial intelligence isnβt just a buzzword anymore; itβs the new electricity of software development. Every other app now wants to βpredict,β βrecommend,β or βchat back.β But hereβs the catch: integrating AI APIs can feel like wrestling an octopus. You start with excitement, then suddenly youβre buried under API keys, weird JSON outputs, and cryptic error messages. Donβt worry! Youβre not alone. In this blog, weβll...
Built a File-to-File Streaming Pipeline with Kafka Connect
Hi everyone, Thanks to the overwhelming response to my previous Kafka basics post, I decided to explore more advanced concepts, starting with Kafka Connect. I hope you find this blog insightful and enjoyable! If youβre new to Kafka, I encourage you to read this post and share your feedback, Iβd love to hear your thoughts. Thank you! submitted by /u/Dhairya-chauhan [link] [comments]
Chrisβ Corner: Word Search
My daughter had a little phase of being into Word Searches. I found it to be a cool dad moment when I was like βIβll make you a tool to make them!β. Thatβs what she was into. She liked doing them OK, but she really liked the idea of making them. So my tool starts [β¦]
A Guide to Using Browser Network Calls for Data Processing
It was a good sunny day in Seattle, and my wife wanted to have the famous viral Dubai Chocolate Pistachio Shake. With excitement, we decided to visit the nearest Shake Shack, and to our surprise, it was sold out, and we were told to call them before visiting. There is no guarantee that it will be available the next day as well because of limited supply. Two days later, I went there again to see if there would be any,...
Release Orchestration: A Practical Guide for 2025
Hello everyone, I've been working on a brief series of articles about orchestration techniques for releases. I figured I'd post it here in case it helps anyone. The goal of the series is to provide a useful summary of various methods and strategies for planning releases in contemporary development settings. If you have any thoughts or experiences with release orchestration, please share them with us! submitted by...
Phantom Liquidity: Why Microsecond Trades Break the Dev Simulator
In the simulator, everything clears. The matching engine hums, the order book is balanced, and every test trader goes home happy. Then you ship it to production, and phantom liquidity vanishes faster than coffee on a trading floor. Orders that should have executed simply do not exist. The illusion is perfect until reality disagrees. I have spent enough time watching green checkmarks in dev turn into red faces in prod...
What I Learned Building a Web-Native Programming Language
Over the past few months, I set myself a challenge: could I design a programming language where web development is βbuilt-inβ at the syntax level? Instead of using a general-purpose language (Python, JS, etc.) plus a framework, I wanted something where HTML and CSS are first-class citizens. The experiment eventually became an alpha project I call Veyra, but the real value for me has been in the technical lessons...
How Reference Counting Works Internally in Swift
submitted by /u/jacobs-tech-tavern [link] [comments]
CodeQL zero to hero part 5: Debugging queries
Learn to debug and fix your CodeQL queries. The post CodeQL zero to hero part 5: Debugging queries appeared first on The GitHub Blog.
Error Budgets 2.0 Agentic AI for SLO-Apprehensive Deployments
Service level objectives (SLOs) and error budgets are key in site reliability engineering (SRE). They help teams balance reliability with innovation, ensuring users get a stable service while developers can safely deliver new features But in practice, administering error budgets inside CI/CD channels is hard:
Why CI and CD Should Be Treated as Separate Disciplines (Not CI/CD)
For years, teams have bundled continuous integration (CI) and continuous delivery (CD) into a single concept: CI/CD. This shorthand suggests a seamless pipeline, but in practice, it creates confusion and hides the fact that CI and CD solve very different problems. CI is like the quality control process in a factory, meticulously inspecting and testing every component to ensure it's safe and meets standards before it's...
Making your code base better will make your code coverage worse
Maintaining a minimum of 80% code coverage affects code decisions and not always for the better.
Build a Face-Matching ID Scanner With ReactJS and AI
Picture this: youβre building a web app that can verify someoneβs identity by having them snap a selfie with their webcam and upload a photo of their ID. Itβs like something out of a sci-fi movie, but you can make it happen with ReactJS and face-api.js (a super cool library built on TensorFlow.js). This setup lets you create a working prototype in a few hours, all running right in the browser β no fancy servers...
The Serverless WebSocket: Building Real-Time Applications With Cloudflare, Hono, and Durable Objects
The demand for real-time applications has exploded, from collaborative documents and live data dashboards to multiplayer games and instant messaging. WebSockets, with their persistent, bi-directional communication protocol, have become the de facto standard for building these experiences. However, the traditional approach β running a dedicated server to manage thousands of long-lived connections β introduces...