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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. Embrace the future of coding, powered by AI, for better software and happier developers.
Agent-2-Agent Protocol (A2A) - A Deep Dive
Explore the transformative potential of Google's Agent2Agent (A2A) protocol, enabling seamless AI agent collaboration across diverse systems. Discover how A2A's scalable, secure, and model-agnostic design can revolutionize intelligent automation, driving operational efficiency and innovation. Uncover why A2A might be the next leap in AI-driven business solutions.
The Overlooked Water Challenge in the Age of AI
AI's growth is driving a massive increase in data center water usage, impacting communities and policies across the world. Innovation around cooling technologies, AI optimization practices and alternative cooling methods can help reduce the impact on water from AI and data centers.
Model Context Protocol (MCP) - A Deep Dive
A deep technical dive into the specifics of how Model Context Protocol (MCP) works, how it relates to previous agentic systems and what the business implications are.
Accelerating Software Development Velocity with Devin
Devin is an autonomous AI engineer who acts like a trusted kitchen manager, handling the backlog, repetitive prep work and tasks that slow teams down, so human developers can focus on the highest-value engineering "dishes." Instead of just making individuals faster, Devin adds true parallel capacity by taking on delegated work from end to end. It understands codebases, completes tasks independently, and returns finished outputs, such as pull requests. In short, Devin is a new kind of teammate who helps organizations move faster and clear the work they've never had time to tackle.
Empowering the Enterprise: A Strategic View of Devin AI and the Autonomous Workforce
Discover how Cognition's Devin and Windsurf redefine the software development lifecycle, balancing autonomous execution with human oversight to accelerate innovation, reduce risk and transform the enterprise workforce.
Payers, Pressure and the Pivot: Turning Health Plans into Health Platforms
In 2026, payers face margin pressure, regulatory whiplash and rising consumer expectations — even as AI reshapes operations. This blog outlines what executives should expect as payers strive to transform into true health platforms.
System Prompts and Zero-shot vs Few-shot Prompting
Prompts are an integral part of interacting with a large language model (LLM), but sometimes getting your desired output can be tricky. Let's take a look at how your output is affected by the system prompt and how you can achieve a better response using zero-shot and few-shot prompting techniques.
Bringing the Power of MCP Servers to Your Team
Model Context Protocols (MCP) can supercharge teams that use generative AI. By plugging in team documentation, shared prompts and governed tools, assistants deliver faster, context-rich help and automate QA.
Part 2 - Devin: Autonomous AI for Modernization
In Part 2, we shift from strategy to execution. We open the hood on Devin, the autonomous AI software engineer, and walk through its enterprise-ready workflow—from high-fidelity codebase analysis to automated refactoring, test creation, documentation and CI/CD orchestration—revealing how each step improves modernization predictability, auditability and operational scale for large organizations.
Using MacOS Services to Integrate AI into Everyday Tasks
How to integrate an LLM like OpenAI's ChatGPT directly into MacOS using Services.
What is ChatGPT?
A high-level overview of ChatGPT and its capabilities.