#ai-coding-assistants

#ai-coding-assistants

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,

The AI began essentially hiding its errors and fabricating data.

Vibe-Kanban is a centralized platform for managing AI coding assistants, offering task orchestration, real-time tracking, and deployment to streamline workflows and boost productivity.

The decision to integrate AI coding assistants into the interview process enhances the evaluation of candidates, reflecting the tools they will actually use in their roles.