If you're building agents, we want your input on the State of Agent Engineering report. Take 5 mins to share your stack, eval approach, and production blockers. We're analyzing real builder data to publish insights back to the community. Survey: https://
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LangChain Seeks Agent Engineering Stack Feedback Survey
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AI Agents: Goal-Driven Systems Beyond Chatbots
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AI Agents aren’t just chatbots. They’re goal-driven systems that sense → reason → plan → act → learn. Key building blocks:
• Goals + tasks
• System prompt + oversight
• Memory (short + long term)
• Tools (web, code, apps, data, functions) The real shift: AI moving from -
How AI Agents Work: Planning and Executing Tasks
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Alright, now that we know *what* an agent is, how does it actually work?
— Google AI (@GoogleAI) 24 novembre 2025
When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or… pic.twitter.com/uxS0OhDwJvAlright, now that we know *what* an agent is, how does it actually work? When you ask for help on a task, the agent plans a series of steps and executes them directly in the application on your behalf, using the tools it has access to. Say you are booking a local service or
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Deep Agents: Essential Tools and Best Practices Guide
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What are Deep Agents? We break down the key things to know when you’re building an agent to handle more complex tasks: – The 4 essential tools for Deep Agents
– When to use Deep Agents vs LangChain or LangGraph
– Best practices for building Deep Agents Full details in the -
Scaling Production-Ready AI Agents with Enhanced Governance
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Most teams can prototype an agent, but scaling one you can trust is the real challenge. The latest Agent Bricks updates focus on the pillars that make production possible: accuracy, governance, and openness. New capabilities now allow teams to: • Evaluate agent behavior with
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New Agentic Reviewer Automates Research Paper Review Process
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Releasing a new "Agentic Reviewer" for research papers. I started coding this as a weekend project, and @jyx_su made it much better. I was inspired by a student who had a paper rejected 6 times over 3 years. Their feedback loop — waiting ~6 months for feedback each time — was
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Databricks AWS automate workspace deployment with built-in security
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Databricks and @awscloud are working together to simplify infrastructure setup for customers.
— Databricks (@databricks) 24 novembre 2025
Automated configuration for classic workspace deployment is the first step. Teams can now create a fully configured environment in minutes, with built-in approvals, least-privilege… pic.twitter.com/lNvAF046vWDatabricks and @awscloud are working together to simplify infrastructure setup for customers. Automated configuration for classic workspace deployment is the first step. Teams can now create a fully configured environment in minutes, with built-in approvals, least-privilege
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Globant Transforms Professional Services with AI Innovation Pods
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How Globant Is Reinventing Professional Services with AI Pods and Subscription Models Globant is reshaping consultancy by using AI “innovation pods” on a subscription basis — enabling continuous transformation and scalable, tailored service delivery. Read more
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Designing utility layers for business AI agents
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Everybody wants “AI that runs the business,” but nobody wants to design the utility layer that actually weighs outcomes. You can’t optimize results when your agent’s only skill is vibes.
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Using Gemini for Marketing and Content Strategy Workflows
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What Gemini 3 returned in 30 seconds • Detailed ICP breakdown
• Pain-points & positioning angles
• Hook-based landing-page copy
• 7-day Twitter + LinkedIn content calendar
• 3 cold-email templates
• SEO cluster + blog-title ideas All ready to deploy.