agent

Mosaic AI RAG Framework is a suite of tooling designed to help developers build and deploy high-quality generative AI applications using retrieval augmented generation (RAG) for output that is consistently measured and evaluated to be accurate, safe and governed.

Perplexity encanta no universo da IA, com desempenho impressionante, versatilidade e aplicações reais que explicam por que é incrível.

Nothing CEO Carl Pei says AI agents will eventually replace apps, shifting smartphones toward systems that understand intent and act on a user's behalf.

Por Greg Isenberg

Por TIMES BRASIL - LICENCIADO EXCLUSIVO CNBC

Por Fireship

Por Universe of AI

Por Rafael Quintanilha – QuantBrasil

Zoom is also introducing real-time deepfake detection tech for meetings.

Por Theo - t3․gg

Agentic Wallets are the first wallet infrastructure built specifically for agents. Equip agents with autonomous spending, earning, and trading capabilities in minutes – with built-in security guardrails and the battle-tested x402 protocol.

https://metr.org/blog/2025-03-19-measuring-ai-ability-to-complete-long-tasks/

Por David Shapiro

Por Julian Goldie SEO

Andrew Ng predicts a radical shift in product teams: one software developer for every two product managers. Is vibe coding changing tech team dynamics forever?

WebMCP aims to provide a standard way for exposing structured tools, ensuring AI agents can perform actions on your site with increased speed, reliability, and precision.

Por AI Jason

Google and Microsoft's new WebMCP standard lets websites expose callable tools to AI agents through the browser — replacing costly scraping with structured function calls.

Por Matthew Berman

ai.com lets you create an agent with its own computer, so it can use any application and do any task that you might do.

The first interactive reasoning benchmark for AI agents.

Por AI Jason

I’ve been thinking about how I build software is so very very different how I used to do it three years ago. No, I’m not talking about acceleration through usage of AI but instead at a more fundamental level of approach, techniques and best practices. Standard software practices

Por Matt Pocock

Por Google Cloud Tech

Por Universe of AI

Por David Shapiro

OpenAI has released a new macOS app for Codex, integrating many of the agentic coding practices that have become popular since Codex launched last year.

Por The AI Daily Brief: Artificial Intelligence News

Por AI Engineer

Por Greg Isenberg

Karl Marx once wrote that ``the human essence is the ensemble of social relations'', suggesting that individuals are not isolated entities but are fundamentally shaped by their interactions with other entities, within which contexts play a constitutive and essential role. With the advent of computers and artificial intelligence, these contexts are no longer limited to purely human--human interactions: human--machine interactions are included as well. Then a central question emerges: How can machines better understand our situations and purposes? To address this challenge, researchers have recently introduced the concept of context engineering. Although it is often regarded as a recent innovation of the agent era, we argue that related practices can be traced back more than twenty years. Since the early 1990s, the field has evolved through distinct historical phases, each shaped by the intelligence level of machines: from early human--computer interaction frameworks built around primitive computers, to today's human--agent interaction paradigms driven by intelligent agents, and potentially to human--level or superhuman intelligence in the future. In this paper, we situate context engineering, provide a systematic definition, outline its historical and conceptual landscape, and examine key design considerations for practice. By addressing these questions, we aim to offer a conceptual foundation for context engineering and sketch its promising future. This paper is a stepping stone for a broader community effort toward systematic context engineering in AI systems.

Por a16z