AWS
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AWS rolls out Agent Registry in Bedrock, pushing enterprises toward real agent governance
AWS launched an Agent Registry in Amazon Bedrock to catalog and govern enterprise AI agents across stacks. Reports say the new registry gives teams a...
Agentic coding goes long‑haul: open models, on‑the‑job memory, and S3 as a file system
Agentic AI for software and data workflows is solidifying, with longer‑running models, practical memory systems, and AWS wiring S3 in as an agent file...
Vibe Coding Meets Production: Reliability Blame, Cloud Bill Shock, and the Case for Rigor
AI-coded “vibe coding” is colliding with production reality, drawing outage blame and warnings about runaway cloud costs without engineering rigor. B...
Synthetic data goes from nice-to-have to required fuel for scaling AI training
A new practical guide argues you can’t scale AI safely or fast enough on real data alone. This hands-on piece lays out why teams should treat synthet...
MCP security and reliability harden: native HNSW swap, governance skills, and enterprise roadmap
The MCP ecosystem tightened enterprise security and reliability this week across releases, guides, and a maintainer-backed roadmap. MCP maintainers o...
OpenClaw patches admin-takeover bug; treat agent platforms like exposed control planes
OpenClaw fixed critical privilege-escalation flaws, underscoring how agent platforms magnify risk when wired into real enterprise systems. Earlier th...
Production reality check for coding agents: reliability over benchmarks
AI coding agents are hitting production walls where reliability, latency, and evaluation—not raw benchmarks—decide whether they help or hurt teams. A...
Kubernetes-native AI ops meet agent-driven incident response
Two pieces point to a practical path for AI in ops: run AI natively on Kubernetes and use agents to automate incident response on AWS. The New Stack ...
AI infra pivots to efficiency: GPU-first data prep, disaggregated inference, and leaner open models
Engineering focus is shifting from bigger models to cheaper, faster pipelines: GPU-native ETL, disaggregated inference, and smaller open models. [Any...
Faster, cheaper LLM serving: prompt caching and P-EAGLE in vLLM
Two practical levers promise big LLM serving gains: prompt caching and a reported P‑EAGLE integration in vLLM for speculative decoding. A clear expla...
Bedrock AgentCore lands: enterprise agent runtime for AWS with a model-agnostic Terraform path
Amazon Bedrock AgentCore adds a managed runtime and ops layer for enterprise AI agents, plus a clean Terraform path to stay model-agnostic. InfoWorld...
Databricks launches Genie Code, an agentic AI to ship and run data systems
Databricks introduced Genie Code, an autonomous agent that plans, builds, and maintains data workflows using Unity Catalog context and continuous eval...
AWS pivots ProServe to AI as Kiro accelerates spec-to-serverless delivery
AWS is pivoting its consulting arm to AI and promoting agentic development with Kiro so teams can stand up production-grade serverless backends in und...
AI coding stack converges (OpenSpec, ECC, Kiro) as CI-targeting npm worm raises guardrails stakes
AI coding tools are consolidating around config-as-code and multi-agent support (OpenSpec, ECC, AWS Kiro) while a new npm worm targeting CI and AI too...
Kiro Powers: Dynamic, keyword‑activated Azure help without MCP bloat
An AWS architect used Kiro's dynamic "Powers" to work productively on Azure, activating only the right MCP tools via keywords to avoid token bloat and...
Kiro Powers bring dynamic, keyword-activated Azure help (from an AWS architect)
An AWS architect built three Azure-focused Kiro "powers" for the Kiro IDE that load tools and guidance dynamically based on conversation keywords to a...