AWS’s Kiro platform recently introduced the powers system to solve “context overload” problem in AI agents. Powers dynamically loads specialized knowledge and tools only when needed, reports TNS Senior Editor Darryl Taft. Darryl explains what’s in a powers bundle and how it benefits developers.
In other technology developments we’re following today:
The rise of AI agents is changing user expectations and the perceived worth of human-generated versus AI-assisted work. That’s forcing software projects to redefine their true value proposition, writes developer and agile consultant David Eastman. Products that fail to clearly explain the specific value brought by LLMs — and which present themselves as “AI-first” rather than “user-first” — risk being rejected by customers. David offers guidance for navigating the pitfalls and legal risks of AI projects.
Despite a humble, developer-focused launch in late 2024, the Model Context Protocol (MCP) achieved a critical turning point just last March when OpenAI announced full support. That essentially validated the standard and neutralized proprietary competition, according to today’s contributed piece by Michael Yaroshefsky, CEO and founder of an MCP gateway called MCP Manager. Michael traces the evolution of MCP’s growth and offers predictions on what comes next.
Learn about vSphere Kubernetes Service, certified as one of the first conformant platforms for the CNCF's new AI standard, in this episode of The New Stack Makers.
As organizations push AI workloads into production, they're running into a familiar struggle: fragmentation. The Cloud Native Computing Foundation’s newly launched Certified Kubernetes AI Conformance Program, announced at KubeCon...
Andela is an AI-native data & services platform — powering AI transformation. Driven by always-on assessments and continuous learning, Andela enables precision team assembly, AI solution delivery, and large-scale reskilling of internal teams.
Join Skyflow’s CPO and Head of Solutions Engineering for a fast-paced session on securing sensitive data. They’ll share real-world customer architectures and demo how to build privacy-preserving AI, protect payment data with tokenization, and ensure data residency at scale.
From Cloud Native To AI Native: Where Are We Going?
Inference will be an obsession, WebAssembly has promise, and observability and infrastructure will get more complicated, said a panel at KubeCon + CloudNativeCon.
