AI has rapidly become a reliable coding assistant for many developers -- so much so that many are wondering about the future of the entire profession. Entry-level coding jobs are dwindling for recent grads as teams offload junior tasks to AI assistants; at the same time, experts cite the real limitations of these tools as proof that engineers will never actually become obsolete.
If you've used an AI coding assistant before, you've probably experienced vibe coding. You start with an idea, throw a high-level prompt at the AI, and wait to see what comes out. Sometimes it's close. Sometimes it's completely off. Either way, it often takes several rounds of tweaking to get what you actually want. That endless loop of prompting, generating, and fixing can get frustrating fast.
They looked at 90 AI coding assistants and identified 10 design dimensions. The paper describes how we went from autocomplete to chat to agents, and why industry is converging on speed and polish while academia explores novel interaction designs. Then it maps the design dimensions to 6 personas of users with the key trade-offs for each.
"Bill used to always say that there's only one category: It's called Information Management," CEO Satya Nadella said in the meeting. "In fact, the thing he used to get frustrated by is, why the heck do I have a different app for writing a document, a different app for a website, and a different (development software) for writing an app?"
As of late April, a full year since its launch, Q Developer's projected annual recurring revenue was $16.3 million, according to an internal document obtained by BI. The forecast was based on roughly $317,000 in weekly revenue and $1.25 million over the trailing 4-week period. ARR is a common industry metric that extrapolates weekly or monthly revenue streams into an annualized figure.
Four years of product development in four days, for $200. That's a pretty hefty claim. But, to my astonishment, it's true. It's also a matter of perspective. The math that works for me might not work for you. Obviously, this is an AI story. The $200 is the ChatGPT Pro plan, to which I upgraded to get more cycles out of the OpenAI Codex programming-tuned AI model. The results can only be described as extreme.
As part of an AI trial across government, more than 1,000 tech workers across 50 different departments trialed AI coding assistants from Microsoft, GitHub Copilot, and Google Gemini Code Assist between November 2024 and February this year. Figures published following a review of the scheme shows developers are saving around one hour each day, equivalent to around 28 working days a year. Technology minister Kanishka Narayan said the trial scheme highlights the benefits of rolling the technology out across government.
The speed at which news of the outage spread shows how deeply embedded AI coding assistants have already become in modern software development. Claude Code, announced in February and widely launched in May, is Anthropic's terminal-based coding agent that can perform multi-step coding tasks across an existing code base. The tool competes with OpenAI's Codex feature, a coding agent that generates production-ready code in isolated containers,
