Programming News and Topics: Latest News on Computer Programming from Techminis

A naukri.com initiative

New

Home

Programming News

Dev

Image Credit: Dev

Stop Sharing API Keys! Announcing AgentVault v0.1.0 - Open Source Toolkit for Secure AI Agent Comms (A2A/MCP)

AgentVault v0.1.0 - an open-source toolkit for secure AI agent communication
AgentVault is designed to address API key management and inter-agent communication challenges.
It decentralizes keys, standardizes communication using A2A and MCP protocols.
AgentVault v0.1.0 comes with core library, backend API, and CLI reference tool.

Read Full Article

3 Likes

Dev

335

Image Credit: Dev

How I Built Full-Stack TypeScript Apps Faster with tRPC and Next.js 15

tRPC is a powerful TypeScript library that allows you to build type-safe end-to-end APIs without schemas like REST or GraphQL.
The project stack for building full-stack apps includes Next.js 15, TypeScript, TailwindCSS, Zod for validation, and React Query for data fetching.
The tRPC backend setup involves creating a tRPC server and defining routers and procedures for handling API requests.
By using tRPC with Next.js, developers can benefit from full type safety, faster development workflow, and no need for API schemas.

Read Full Article

20 Likes

Dev

206

Image Credit: Dev

Selenium vs Puppeteer vs Playwright: Choosing the Right Tool for Web Automation

This article compares three popular web automation frameworks: Selenium, Puppeteer, and Playwright, to help users make informed decisions.
Selenium is a veteran in the field, offering cross-browser compatibility, multi-language support, and features like WebDriver and Grid.
Puppeteer, developed by the Chrome team, focuses on Chrome automation but also supports Firefox, excelling in headless browsing and DevTools integration.
Playwright, from Microsoft, combines strengths of Puppeteer with broader browser support, automatic waiting, and powerful tooling like Codegen and Inspector.
Key features of Selenium include cross-browser compatibility, multi-language support, WebDriver, Grid, and being open-source.
Puppeteer's features include headless browsing, DevTools integration, easy setup, speed, screenshot generation, and timeline capture.
Playwright stands out with auto-wait, browser contexts, tooling, one-time login, iframe and shadow DOM handling, and broader browser support.
Each framework has unique use cases like automated testing for Selenium, web scraping for Puppeteer, and end-to-end testing for Playwright.
Considering aspects like language support, performance, setup, debugging, community, and ease of use can help in choosing the right tool for specific requirements.
In a head-to-head comparison, factors like browser support, language support, performance, setup, debugging, community, and ease of use differentiate Selenium, Puppeteer, and Playwright.
Choosing the right tool depends on criteria such as cross-browser compatibility, language support, performance, ease of use, and project requirements.

Read Full Article

12 Likes

Dev

361

Image Credit: Dev

From Strategy to Execution : Leveraging SIRI for Digital Transformation

O3ai leverages the SIRI framework for digital transformation integrating MES, MOM, AI, and IoT
SIRI provides a comprehensive evaluation framework for process, technology, and organization
Continuous evaluation with SIRI ensures adaptation to new technologies and industry standards
SIRI enables strategic roadmap and execution for aligning operations and implementing best practices

Read Full Article

21 Likes

Medium

159

Image Credit: Medium

MCP = HTTP or USB-C for the AI World?

MCP, or Model Connection Protocol, was introduced by Anthropic to simplify how Language Learning Models (LLMs) connect to external data and tools.
MCP acts as a universal adapter for AI, providing a standard and streamlined way for models to integrate with the broader ecosystem.
By offering a simplified connection process, MCP aims to reduce development and maintenance costs associated with building custom connectors for each data source.
MCP is part of a typical architecture, along with the Agent and RAG, working together like a modern library system to enhance AI capabilities.

Read Full Article

9 Likes

Medium

288

Image Credit: Medium

Day One of My Machine Learning Rebuild: Predicting Housing Prices with Linear Regression

This week the author started building a portfolio of real machine learning (ML) projects to break into the industry.
The author used the California Housing dataset from sklearn.datasets for predicting housing prices with linear regression.
Exploratory Data Analysis (EDA) revealed features with strong correlation to house prices, such as median income.
The author trained a linear regression model using scikit-learn, evaluated its performance, and made predictions on new or test data.

Read Full Article

17 Likes

Dev

107

Image Credit: Dev

A2A Protocol Simply Explained: Here are 3 key differences to MCP!

Google's Agent-to-Agent (A2A) protocol aims to enable AI assistants to collaboratively work together, unlike working in isolation.
A2A turns AI assistants into team players, allowing seamless passing of information and collaboration on tasks.
Comparing A2A to Anthropic's Model Context Protocol (MCP) reveals different approaches to AI system collaboration.
MCP enables AI assistants to access specialized tools, while A2A connects specialized AI assistants to each other.
A2A allows for delegation of tasks among specialized AI assistants, facilitating complex problem-solving.
MCP provides a standard way for any AI assistant to connect to any tool, enhancing their capabilities.
A2A orchestrates tasks among AI assistants, streamlining processes for users without the need for manual intervention.
The collaboration between MCP and A2A creates an ecosystem where AI assistants with different capabilities can work together effectively.
A2A communication is more human-like, while MCP focuses on structured schema for precise operation.
A2A manages tasks through multi-stage processes, while MCP treats operations as individual function calls.

Read Full Article

6 Likes

Medium

How local QEventLoop works

At its core, the Qt event loop is a continuous cycle that waits for events and then processes them.
The event loop uses an event queue to store incoming events, processing them in a FIFO approach.
Qt's signal and slot mechanism is tightly integrated with the event loop, allowing for event handling and application logic management.
The QEventLoop class provides more fine-grained control, useful for blocking the main event loop while waiting for specific operations to complete.

Read Full Article

2 Likes

Medium

103

Image Credit: Medium

Automating Tools for Prompt Engineering

Prompt engineering has emerged as a new profession in the field of generative artificial intelligence (GAI).
Prompt engineering involves designing specific phrasing, known as prompts, to guide AI models towards desired outputs.
Automated prompting techniques and tools have evolved, allowing the generation, selection, and optimization of prompts.
These techniques help improve the performance and accuracy of AI models in various applications.

Read Full Article

6 Likes

Dev

365

Image Credit: Dev

Build Your Next SaaS with PHP — In Hours, Not Days

Leaf PHP is a tool designed for makers and solo builders to quickly build and launch SaaS applications using PHP.
It provides a ready-to-go starter, helping developers avoid time-consuming setup tasks.
Leaf PHP includes a billing module for easy one-time payments and subscriptions, currently supporting Stripe.
It also offers simple scaffolding for waitlists and landing pages, providing a seamless launching experience.

Read Full Article

21 Likes

Dev

232

Image Credit: Dev

Code Smell 296 - Unhappy to the Right

Code Smell 296 emphasizes avoiding deep nesting in order to maintain code readability and maintainability.
The article discusses problems arising from excessive indentation and cognitive overhead due to deeply nested conditional structures.
Solutions proposed include using early returns, guard clauses, handling errors first, and keeping the main code flow to the left.
By restructuring code to reduce nesting depth, the primary logic can be more accessible and easier to follow.
The article emphasizes the importance of maintaining a clear bijection between the logical flow of business rules and their representation in code.
AI code generators often produce nested conditional structures, but AI code assistants can help in detecting and refactoring such code.
Keeping the main logic flow along the left margin enhances code readability, reduces cognitive load, and aids in handling future changes effectively.
The article concludes by emphasizing the benefits of using early returns and guard clauses to create more maintainable and understandable code.
Overall, adhering to the principle of keeping the main logic aligned to the left margin leads to more comprehensible and less error-prone code.
Maintaining a clean bijection between business logic and code representation enhances code quality and clarity for developers.

Read Full Article

13 Likes

Dev

129

Image Credit: Dev

Advanced Caching Strategies With Server-Side Rendering in Next.js

Server-side rendering (SSR) in Next.js ensures users receive a fully rendered page quickly, but it can introduce performance tradeoffs if not managed properly.
Understanding SSR in Next.js and the usage of getServerSideProps to fetch dynamic data on every request.
Using Incremental Static Regeneration (ISR) in Next.js for serving static pages and regenerating them in the background after a specified revalidate period.
Implementing CDN caching with headers to instruct CDNs on how to cache responses and improve performance.

Read Full Article

7 Likes

Dev

Image Credit: Dev

"Dismiss Review": The Underrated GitHub Feature You're Probably Not Using

GitHub has an underrated feature called Dismiss Review that is not widely used.
Many people hesitate to use the Request Changes option on GitHub, as it feels negative and can discourage the author of a pull request.
Dismiss Review allows PR authors or maintainers to dismiss a review once the feedback has been addressed, without blocking the merge.
There is a need to normalize the use of Dismiss Review and encourage a healthier review culture on GitHub.

Read Full Article

1 Like

Medium

Understanding Stub, Mock and Spy with Pest and Mockery in Laravel

Stub: An object that simulates a specific return value without verifying calls; you should use this when you just need fake data for your test.
Mock: An object that simulates a return and also verifies if it was called; you should use this when you want to test behavior and interactions.
Spy: An object that runs real code but allows you to observe calls; you should use this when you want to monitor interactions without changing behavior.
Understanding when to use a stub, mock, or spy might sound like a small technical detail — but trust me, it’s one of those things that truly elevates your test writing game.

Read Full Article

5 Likes

Medium

266

GROW Token – The Green Revolution in the World of Cryptocurrencies

GROW Token is an innovative cryptocurrency project supporting sustainable development, reforestation, and environmental protection.
By buying and holding GROW Token, investors support real environmental actions on the blockchain.
The project offers security, transparency, and a dynamic community for its investors and users.
Analysts predict significant growth in the value of GROW Token by 2030.

Read Full Article

16 Likes

For uninterrupted reading, download the app

Programming News

Discover more