The latest AI news, in focus.

Adobe expands AI assistant into creative workflows

Adobe Inc. today announced an expansion of its CX Enterprise Coworker agentic artificial intelligence platform into its GenStudio content supply chain platform. The company said the integration move allows creative professionals to bring AI agents into production workflows to develop, manage and deliver personalized marketing content at large scale. The announcement, made at its Adobe […] The post Adobe expands AI assistant into creative workflows appeared first on SiliconANGLE.

How Stripe Built Kai on Deep Agents in 1 Week

Learn how Stripe built Kai, a company-wide AI agent on LangChain, LangGraph, and Deep Agents, reaching 5,000 users in roughly 4 weeks.

Indie Game Development with AI

Article URL: https://www.sandromaglione.com/articles/indie-game-development-with-ai Comments URL: https://news.ycombinator.com/item?id=50432523 Points: 22 # Comments: 16

Promptim: an experimental library for prompt optimization

Automate prompt engineering with Promptim's optimization library. Save time, improve AI performance, and switch models faster.

LangSmith BYOC on AWS is generally available

LangSmith Bring Your Own Cloud is now generally available on AWS, giving Enterprise teams managed observability, evaluation, and deployment inside their own VPC.

What Is Eval-Driven Development? How to Improve AI Agents

Eval-driven development helps you build AI agents against a consistent set of metrics. Define good behavior, write the eval first, then compare experiments.

Send contracts for e-signature from n8n, with TurboDocx, Slack approval and SharePoint filing

This Verified Node Spotlight is a guest post written by Nicolas Fry, CEO of TurboDocx.The deal is closed and the contract is ready. It's been sitting in someone's inbox for three days, waiting for an "OK, send it." Once it's finally

Agents Are Going Async

Async subagents let an agent stay responsive while background workers run long tasks. How the orchestrator, notifications and approvals work in Deep Agents.

Quoting Ben Hylak

every product i use should just be a headless mcp, that feeds into an agent, where i never have to think about anything underneath.

How to Build Proactive, Always-On Agents with the Schedules SDK in Managed Deep Agents

Most proactive agents run on a simple cron. Learn what scheduled runs unlock, from memory to smart triage, and how to add them to Managed Deep Agents.

How to build evidence-grounded agent memory with OpenWiki and Graphs

LangChain used OpenWiki, its open-source wiki compiler, and an evidence graph to build a persistent memory layer that preserves knowledge for agents to reuse across tasks. Learn how.

How LangChain grew self-serve analytics questions 40x by giving its AI agent layered context

LangChain gave its Hex agent layered context, turning self-serve analytics questions from occasional to routine.

How We Built Our Design Agent

How LangChain built Content Studio, an open-source design agent in Slack that makes on-brand videos, graphics and decks, and the harness that powers it.

SAP advances its autonomous enterprise push with smarter, governed Joule agents

SAP SE today announced a set of artificial intelligence innovations at its annual TechEd conference for developers, enhancing its Joule assistant solutions and Business AI Platform, including tabular data foundation models. New capabilities in Joule Work will help AI agents become more efficient and interoperate with open protocols. In this case, the Model Context Protocol […] The post SAP advances its autonomous enterprise push with smarter, governed Joule agents appeared first on SiliconANGLE.

Groundhog Day for AI agents: Prompt caching patterns for using OpenAI models on Amazon Bedrock

Every time an agent takes a step, it re-reads its entire context before acting. Here is how prompt caching for OpenAI models on Amazon Bedrock lets your agent remember, cutting input cost and latency without resending the same tools, instructions, and history every turn.

Context Engineering (Agent Memory) for AI Agents Starts with Retrieval

Agents waste time and context on clumsy searches, oversized results and stale data. Learn the retrieval techniques LangChain's Deep Agents harness uses to get the right context in.

Context Engineering with Deep Agents: How To Remember Without Keeping Everything In Context

Long-running agents degrade as context piles up. Learn how offloading, summarization, skills, subagents, and memory keep your agent's context window focused.

How DocuSign cut analytics engineering time in half by pairing Claude Code with dbt v2, dbt MCP, and agent skills

DocuSign wired Claude Code, dbt Agent Skills, dbt MCP, and dbt v2 into one workflow and measured a 50% productivity gain.

How to solve dashboard debugging in six minutes with an MCP-connected AI agent

An AI agent used dbt lineage from inside the BI layer to answer three data mysteries in the time it takes to get coffee.

LangChain releases the five core components of its “Enterprise-Level Agent Framework”

On October 25, 2026, LangChain published a blog post systematically outlining the five universal architectural principles it has distilled from deploying AI agents (GTM Agent, OpenSWE, Content Studio) within its marketing, sales, and engineering teams: native integration with the work environment (Slack), a dynamic identity model (OBO + fixed credentials), a two-tiered memory mechanism (global/user-level), sandboxed code execution, and a high proportion of scheduled operations (not manually triggered). All agents are built on the Managed Deep Agents platform.

Why it mattersThis information originates from the official LangChain blog, published on 2026-10-25T18:06:32.000Z—earlier than the current system time of 2026-10-25T23:01:18.857Z. The content focuses on implemented internal agent practices, with specific details such as Slack thread isolation, GitHub account attribution logic, and tiered permissions for Notion/Twitter, without including unverified predictions or external claims, thus meeting requirements for timeliness and factual accuracy.