For enterprises embracing AI-assisted development, writing code is no longer the hardest part. Operationalizing it is. Microsoft is targeting that challenge with Rayfin, a new open-source SDK and CLI unveiled at Build 2026.
“Rayfin turns backend development into a code-first workflow. Developers and coding agents can define a full application backend in code, including databases, business logic, APIs, identity, and access policies, and deploy it to Microsoft Fabric for a fully managed, enterprise-grade backend,” Shireesh Thota, CVP of databases at Microsoft, wrote in a blog post.
In effect, Thota added, this approach cuts down the manual integration work and time typically required to connect backend systems once an application front-end is built.
Explaining further, how Rayfin works, the top executive said that developers or coding agents working on their behalf define the entire backend using the SDK, and then that definition is deployed directly to Fabric using the CLI.
Governance,
The design hasn’t changed much from the original Proteus, which was announced in 2022. | Image: Amazon
Amazon has announced a new version of its fully autonomous warehouse robot, Proteus, that will can interact using language instead of code. The expanded capabilities come as part of a growing pivot toward automation as the e-commerce giant replaces its human workers with robots.
Amazon says the AI-powered upgrade means its human employees can assign the robot tasks in the same way they'd communicate with colleagues. Previously, workers would need to use specialized software to direct the floor-level, tortoise-like systems, which are designed for heavy lifting and moving large carts throughout Amazon's warehouses. "You tell it what needs to …
Read the full story at The Verge.
AI-driven regulation of synthetic DNA could reshape biotech markets, favoring larger firms and biosecurity tech, while challenging decentralized science.
The post OpenAI and Anthropic urge Congress to regulate synthetic DNA sales as AI lowers bioweapon barriers appeared first on Crypto Briefing.
Meta is rolling out its Meta Business Agent globally on WhatsApp and Instagram DMs, bringing AI-powered customer interaction tools to small and medium businesses after nearly two years of testing in markets including India and Mexico. The AI agent can answer customer queries, recommend products, book appointments, qualify sales leads, and escalate conversations to human […]
AI's dual nature challenges ethical boundaries while offering tools to synthesize wisdom for global peace.
The post Jamie Metzl: AI’s ethical challenges in rule-making, its potential to extract universal principles, and the necessity of human collaboration | Jordan Harbinger appeared first on Crypto Briefing.
AI is set to boost productivity and economic growth, dispelling fears of widespread job loss.
The post David Solomon: AI will enhance productivity without causing job loss, the importance of human interaction in finance, and the evolving landscape of entry-level jobs | Odd Lots appeared first on Crypto Briefing.
Artificial intelligence does not advance at the same pace across industries. It presses forward in some directions while lagging behind in others.
Spend time with today’s most advanced AI applications, and this contrast becomes obvious. In software development, AI is quickly becoming ubiquitous. It writes production-ready code, explains obscure libraries, and iterates at a pace human teams have difficulty matching.
But place that same AI model inside a complex customer support workflow or ask it to reason through a nuanced clinical scenario, and the cracks begin to show. Multi-step reasoning falters. Context gets lost. Performance drops in ways that can seem inconsistent with the model’s strengths elsewhere.
These AI models are often similar. They run on similar hardware and are often trained in similar ways. So why the mismatch in performance across tasks? The simplest explanation is also the most overlooked: data.
Software engineering benefits from an immense, structured, and highly
