Month: June 2025

Hello JavaScript Enthusiasts! Welcome to a new edition of “This Week in JavaScript“! This week, we’ll be lookin into Biome’s game-changing v2 release, celebrate the baseline availability of JSON modules across modern browsers, explore Astro’s move toward dynamic content, and review some exciting tool releases from Hono, MockRTC, and more. Biome v2 is coming for … Read more

Hello AI Enthusiasts! Welcome to the Twenty-Fourth edition of “This Week in AI Engineering”! This week, the spotlight shines on MiniMax, the Chinese AI startup that just released a frontier-level open-weight reasoning model, MiniMax-M1, with some jaw-dropping benchmarks. We also saw Google introduce a new Flash-Lite variant that’s faster and cheaper. Meanwhile, Kimi-Dev-72B emerges as … Read more

AI agents are quickly becoming a necessity in the workplace. Imagine having the fastest, most knowledgeable assistant immediately available for any type of work at your request. That is exactly what AI agents are designed to be capable of. They are able to autonomously complete a wide variety of tasks, including researching on the Internet … Read more

From Code Smell detectors to AI Whisperers: Programming is Getting Its Groove Back TL;DR: I will explain Vibe Coding in five levels to different audiences. Child Vibe coding is like telling a robot what you want, and it builds it for you while you talk to each other. You say something like, “Build me a … Read more

You know those regression packs that used to finish while you grabbed coffee? Are they now taking hours? And that testing box you requisitioned six months ago? Is it already maxed out? And do you find yourself complaining about how resources are idling 90% of the day?  Yes, it’s time to look at cloud-based testing. … Read more

Table of Links Abstract and 1. Introduction 2. Contexts, Methods, and Tasks 3. Mixed Outcomes 3.1. Quality and 3.2 Productivity 3.3. Learning and 3.4 Cost 4. Moderators 4.1. Task Types & Complexity 4.2. Compatibility 4.3. Communication 4.4. Collaboration 4.5. Logistics 5. Discussion and Future Work 5.1. LLM, Your pAIr Programmer? 5.2. LLM, A Better pAIr … Read more

Table of Links Abstract and 1. Introduction 2. Contexts, Methods, and Tasks 3. Mixed Outcomes 3.1. Quality and 3.2 Productivity 3.3. Learning and 3.4 Cost 4. Moderators 4.1. Task Types & Complexity 4.2. Compatibility 4.3. Communication 4.4. Collaboration 4.5. Logistics 5. Discussion and Future Work 5.1. LLM, Your pAIr Programmer? 5.2. LLM, A Better pAIr … Read more

Table of Links Abstract and 1. Introduction 2. Contexts, Methods, and Tasks 3. Mixed Outcomes 3.1. Quality and 3.2 Productivity 3.3. Learning and 3.4 Cost 4. Moderators 4.1. Task Types & Complexity 4.2. Compatibility 4.3. Communication 4.4. Collaboration 4.5. Logistics 5. Discussion and Future Work 5.1. LLM, Your pAIr Programmer? 5.2. LLM, A Better pAIr … Read more