AI Assistants insights
126 results found
Meet Your New Colleague: What OpenClaw Taught Me About the Agentic Future
OpenClaw's launch marks a pivotal shift in AI, showcasing agentic systems that act autonomously, transforming workflows. This open-source experiment accelerates AI development, urging organizations to prepare for agentic AI's integration. As AI evolves, the question isn't if it will arrive, but if you're ready for its transformative potential.
Identity Management for AI Agents: The Infrastructure That Unlocks Scale
As agents scale, questions of accountability, authorization and oversight move from theoretical to existential. This article explores why identity infrastructure has become the hidden bottleneck to scaling agentic AI, and why governance isn't slowing innovation — it's what makes it possible.
The Lawn Mower Metaphor: Getting Real Value from Windsurf Without Cutting the Flowers
If you're a software engineer navigating fast-turnaround proof-of-concept projects, this post explores how Windsurf's AI coding agent, Cascade, can accelerate development without breaking what already works. Using a "lawn mower" metaphor, it covers two key techniques: understanding the codebase before writing code, and executing implementation plans one deliberate step at a time.
AI-Native Engineering
AI is having a transformative impact on enterprise engineering, highlighted by the predictions that most code will be AI-generated in the near future. WWT's Manju Palakkat reviews how AI will shift from being a tool to acting as a core teammate throughout the software product lifecycle. Manju discussed the concept of AI-Native engineering where AI is integrated across all stages, enabling humans to focus on intent, architecture and oversight. Manju then reviewed the AI-Native Maturity Model, showing that most organizations are still in the early stages of AI adoption, with the goal being full AI-first operations and multi-agent orchestration.
Incident Knowledge Assistant Demo
AI‑optimized IT operations for proactive, automated incident resolution.
Intelligent Resource Optimizer Demo
Supercharge IT operations with AI‑driven automation and actionable intelligence.
Daily Ops Summary Agent Demo
Elevate IT operations with AI for faster decisions and smarter automation.
Automation Priorities for 2026
A step-by-step guide to achieving automation success.
Unlocking the Power of AI Coding Assistants
AI coding assistants are transforming software development by boosting productivity, enhancing code quality and facilitating continuous learning. These tools not only automate repetitive tasks but also provide insightful guidance, enabling developers to work smarter and more creatively.
AI Agents are Becoming the New Digital Teammates
AI agents revolutionize work by automating repetitive tasks, freeing time for strategic, creative and human-centric activities. They integrate seamlessly into existing workflows, enhancing productivity without replacing human judgment. Embrace AI to focus on high-value tasks, amplify output and gain a competitive edge in the evolving workplace.
Workforce AI and Coding Assistants
AI-powered coding assistants are having a significant impact for organizations by significantly boosting productivity and enabling faster, more innovative solutions for both internal teams and customers. In this presentation, WWT's Nate McKie highlights the benefits of AI assistants including examples of debugging production issues, rapid prototyping and handling complex, inconsistent data sets. Nate also reviews the evolution of these tools from IDE integrations to chatbot interfaces and low-code/no-code platforms and the importance of governance and security.
Building with LangChain
This learning path teaches you to build LLM applications using LangChain's composable building blocks. Three foundational articles explain orchestration frameworks, LangChain's place among them, and its core abstractions—prompts, chains, and pipelines. Hands-on labs then let you assemble these primitives into increasingly sophisticated patterns: structured output, memory management, RAG, and agentic tool use.