Devlery - AI news for builders
Devlery blog
AI news for builders.
Command A+ Brings an Open Agent Model to Two H100s
Cohere released Apache 2.0 Command A+, a 218B MoE model with 25B active parameters, private deployment, tool use, vision, and multilingual agent workloads in scope.
SageMaker Skills turn model customization into coding-agent work
AWS opened SageMaker AI model customization to coding agents through Skills, turning SFT, DPO, RLVR, evaluation, and deployment into reviewable notebook workflows.
Google Pay MCP Brings Payment Integration Into IDE Agents
Google Pay and Wallet now expose an MCP server for docs, account status, pass validation, error metrics, and merchant integration workflows.
Sierra localized Agent Studio in four months with AI coding agents
Sierra published a concrete Agent Studio localization case study covering 900+ frontend files, batch scripts, lint loops, and context-window failures.
Lyft AI Assist cuts support-agent development from six months to two weeks
Lyft showed how LangGraph and LangSmith turned customer-support agents into a self-serve platform with routing, state, evals, and prompt CI.
Hugging Face TITO Warns Agentic RL Teams About Token Drift
Hugging Face explains how retokenizing tool-using agent rollouts can break gradients, and proposes TITO as a safer training-loop rule.
IBM Agentic CLEAR tracks agent failures across three levels
IBM Research released the Agentic CLEAR paper and open source tool for analyzing agent traces at the system, trace, and node levels.
Claude self-hosted sandboxes set new rules for private MCP access
Anthropic added self-hosted sandboxes and MCP tunnels to Claude Managed Agents, shifting tool execution and private tool access into enterprise-controlled boundaries.
Workday ASOR and Gemini move HR agents to the approval line
Workday and Google Cloud connected Sana to Gemini Enterprise. For HR and finance agents, approval chains, permissions, and data boundaries matter more than the model.
OpenAI shows how Codex became an engineering backlog system
OpenAI published an internal Codex usage report. The practical signal is task queues, AGENTS.md, repo questions, migrations, tests, and incident triage.
Copilot API now grades AI adoption by user phase
GitHub Copilot usage metrics now classify users by code-first, agent-first, and multi-agent usage over a 28-day window.
Chrome Enterprise MCP turns browser security policy into agent tools
Google released a Chrome Enterprise Premium MCP server that exposes DLP rules, connector policy, browser telemetry, and activity logs to AI agents.