National Australia Bank (NAB) has standardized its AI coding assistant tools on Cursor for 6,000 developers, with plans to scale to over 10,000 employees. This decision followed an evaluation against Amazon Q and GitHub Copilot, with NAB choosing Cursor for its superior model flexibility, deep understanding of complex codebases, and extensibility. The adoption has led to significant productivity gains, including a threefold acceleration in legacy migrations like monolith refactors and mainframe transitions. Additionally, teams are now developing greenfield applications, such as a payment app, in just three weeks instead of the original four-month scope, enabling NAB to ship projects faster and with higher quality.
Anthropic's Economic Research team is launching the Anthropic Economic Index Survey, a new monthly qualitative survey conducted via Anthropic Interviewer. Starting April 22, 2026, the survey aims to capture how Claude users experience and anticipate AI's impact on their work, productivity, and the broader economy. This initiative seeks to provide crucial first-hand accounts and identify economic shifts as they emerge, complementing existing quantitative data and potentially surfacing changes before they appear in aggregate labor market statistics. A small, randomly selected group of Claude users will be invited each month, with insights to be published in future Anthropic Economic Index reports.
Google DeepMind is partnering with leading global consultancies—Accenture, Bain & Company, BCG, Deloitte, and McKinsey—to accelerate AI-driven transformation for businesses worldwide. This collaboration aims to bridge the significant AI adoption gap by combining Google DeepMind's advanced research and frontier AI models, such as Gemini, with the consultancies' strategic expertise. The initiative will focus on developing scaled, industry-specific AI solutions, providing early access to cutting-edge models for partner feedback, and connecting AI leadership with customer CEOs. Ultimately, this partnership seeks to help organizations responsibly harness AI's potential for economic growth and problem-solving across various sectors.
A survey of 81,000 Claude users explored the economic impact of AI, revealing that individuals in roles with higher AI exposure, particularly early-career professionals, expressed greater concerns about job displacement. Paradoxically, many respondents also reported increased productivity and empowerment, with the highest- and lowest-paid occupations experiencing the largest gains, often through expanding task scope. The study established a direct correlation between a job's observed AI exposure and its occupants' economic concerns about potential job loss.
Cursor has announced a partnership with SpaceX to accelerate its model training efforts. This collaboration aims to overcome Cursor's previous compute bottlenecks that have limited the development of its agentic coding models, such as Composer 2. By leveraging xAI's Colossus infrastructure, Cursor plans to dramatically scale the intelligence and capabilities of its AI models.
Google is rolling out its AI-powered marketing tool, Pomelli, to small businesses across the E.U., Iceland, Liechtenstein, Norway, Switzerland, and the U.K. Developed by Google Labs in partnership with DeepMind, Pomelli is designed to help businesses easily generate on-brand content like product images and social media campaigns. The tool works by analyzing a business's website to understand its brand identity, suggesting custom campaign ideas, and then creating high-quality, editable assets for social media, web, and ads. This expansion aims to empower small businesses with advanced AI technology for creating professional, consistent marketing materials.
Cursor has significantly reduced disruptive app crashes, primarily caused by out-of-memory (OOM) issues, which escalated with increased users and complex features like subagents. To address this, the company implemented robust systems for crash observability and memory pressure monitoring, focusing on severe renderer crashes. Their approach involves dual debugging strategies: a top-down investigation of memory-intensive features and a bottom-up tracing of individual crash events using real-time stack captures. These efforts have resulted in an 80% reduction in the OOM-per-session rate and a 73% drop in the OOM-per-request rate since late February/early March.
Stitch has open-sourced its DESIGN.md format, a specification that enables users to export and import design rules across projects. Initially, this allowed Stitch to understand design systems and generate brand-consistent user interfaces without constant re-invention. Now open-source, DESIGN.md can be adopted across various tools and platforms, empowering AI agents to accurately interpret design intent and validate choices against WCAG accessibility rules, thus fostering a shared visual language.
The "Built with Opus 4.6 Claude Code hackathon" announced its winners, showcasing diverse participants like a personal injury lawyer, cardiologist, and musician, many of whom were not professional developers. First place went to Mike Brown's CrossBeam, an AI-powered tool designed to automate and streamline California's complex housing permit application process. Another highlighted project, Elisa, by Jon McBee, creates a block-based visual IDE for Claude Code, making it accessible for non-developers. These innovative projects aim to inspire future builders for the upcoming Opus 4.7 Claude Code hackathon.
Anthropic's new Opus 4.7 model significantly enhances Claude Code with improved coding capabilities, better ambiguity handling, and more reliable context retention. To optimize performance, best practices recommend treating Claude as a capable engineer: specifying tasks upfront, reducing user interactions, and utilizing auto mode for autonomous tasks. A new default "xhigh" effort level balances intelligence and cost, making it ideal for most agentic coding work like API design and code reviews.
Amplitude, a software company, significantly increased its development velocity and production code output by implementing Cursor's cloud agents. Seeking a fully autonomous development pipeline, Amplitude leveraged Cursor to enable parallel execution, full development environment access, and continuous automation for tasks ranging from addressing customer feedback to fixing bugs and migrating legacy code. This adoption led to a 3x increase in weekly production commits, with 60-70% of low-risk pull requests merged directly, establishing Cursor as a top contributor by commit volume and overcoming the limitations of local-only AI coding tools.
A study tracking developers across 500 companies after the release of improved AI models (Opus 4.5, GPT-5.2) revealed a 44% increase in average weekly AI usage, indicating greater demand. Initially, developers used these models for existing tasks of similar complexity, but after a 4-6 week lag, they shifted to significantly more complex work, a trend concentrated in industries like finance, media, and advertising. This improvement also shifts the developer's role towards managing AI output, with substantial growth in tasks such as documentation, architecture, and code review, suggesting AI both facilitates current work and unlocks new productive opportunities.
