Overview
Explore
Labs
Experts
Services
Events
78 results found
Unlocking the Power of AI Coding Assistants
AI coding assistants are transforming software development by boosting productivity, enhancing code quality and facilitating continuous learning. These tools not only automate repetitive tasks but also provide insightful guidance, enabling developers to work smarter and more creatively. Embrace the future of coding, powered by AI, for better software and happier developers.
Using Mock Service Worker to Improve Jest Unit Tests
Mock Service Worker (MSW) improves unit tests of components that make API calls by defining mocks at the network level instead of mocking our own custom code. Better still, we get that benefit while also making our test code smaller, easier to read and easier to reuse.
Performance Benchmarking: Bun vs. C# vs. Go vs. Node.js vs. Python
I took 5 runtimes and built functionally identical REST APIs with each of them. Then I ran load tests for each application to measure their performance.
Agent-2-Agent Protocol (A2A) - A Deep Dive
Explore the transformative potential of Google's Agent2Agent (A2A) protocol, enabling seamless AI agent collaboration across diverse systems. Discover how A2A's scalable, secure, and model-agnostic design can revolutionize intelligent automation, driving operational efficiency and innovation. Uncover why A2A might be the next leap in AI-driven business solutions.
Model Context Protocol (MCP) - A Deep Dive
A deep technical dive into the specifics of how Model Context Protocol (MCP) works, how it relates to previous agentic systems and what the business implications are.
How Windsurf Has Revolutionized My Development Workflow
Windsurf revolutionizes software development by drastically reducing development time. It can automate code reviews, enforce coding standards and offer potential enhancements to QA processes. However, human oversight remains crucial, blending AI efficiency with expert judgment for optimal results.
Part 1 - Devin: Autonomous AI for Modernization
Legacy code modernization is now a strategic imperative, driven by technical debt and innovation demands. Devin, an autonomous AI, revolutionizes this process by compressing timelines, enhancing quality and freeing engineers for innovation. Enterprises must embrace AI-orchestrated modernization to stay competitive, transforming challenges into opportunities for growth and resilience.
About the UX Apprenticeship Program
Gain the experience you need to accelerate your career.
Structuring Your Decision Making: The PrOACT Decision Framework
Learn how to improve decision-making for important decisions using the PrOACT decision framework.
An Introduction to Regular Expressions in C#
Learn how to use regular expressions in C# to perform advanced searches in text and easily convert text, leveraging the best of regexes and C#.
Unlocking the Power of Apple CarPlay
In an era where our smartphones have become an integral part of our daily lives, Apple CarPlay emerges as a seamless integration of technology with our driving experiences. Here, we'll delve into the intricacies of Apple CarPlay, exploring its features, benefits and how developers can harness its capabilities with code examples.
Part 2 - Devin: Autonomous AI for Modernization
In Part 2, we shift from strategy to execution. We open the hood on Devin, the autonomous AI software engineer, and walk through its enterprise-ready workflow—from high-fidelity codebase analysis to automated refactoring, test creation, documentation and CI/CD orchestration—revealing how each step improves modernization predictability, auditability and operational scale for large organizations.