Developer Tools
MCP servers, CLIs, SDKs, APIs, and open source tooling for building on agentic AI platforms.
Building on agentic AI platforms requires the right developer tools—from MCP servers and CLIs to SDKs, APIs, and integration frameworks. Explore open source tooling, integration guides, and developer resources for building, extending, and connecting AI-powered applications.
607 articles in this category
MCP Is Becoming the USB-C of AI — Here's What That Means for Your Organization
Model Context Protocol is rapidly becoming the universal standard for connecting AI agents to tools and data. Here's how it works, why it matters, and what organizations should do about it.
Google's TurboQuant Cuts AI Memory 6x — What It Means for Running AI Agents on Your Own Infrastructure
Google's TurboQuant achieves 6x memory reduction with zero accuracy loss. Here's what that means for organizations running AI agents on their own infrastructure.
Model Compression Is Unlocking On-Premises AI Agents — Here's What That Means for Your Organization
Google's TurboQuant algorithm cuts LLM memory by 6x with zero accuracy loss. Combined with the rise of agentic AI, model compression is making on-premises AI agent deployment practical for organizations that need data sovereignty.
Claw Agents for Enterprise: 16 AI Agents for Business Operations
16 pre-built enterprise agent configurations for OpenClaw and NemoClaw. Deploy AI agents for customer support, HR onboarding, knowledge management, compliance, sales enablement, and more — without writing agent code.
The LiteLLM Supply Chain Attack Is a Wake-Up Call: Why Organizations Must Own Their AI Infrastructure
A credential-stealing payload was discovered in LiteLLM v1.82.8 on PyPI. Here's what it means for organizations running AI agents — and why owning your infrastructure is the only real defense.
Why Model Context Protocol (MCP) Is the Missing Piece in Education AI
Most campus AI pilots stall because the AI can't talk to campus systems. Model Context Protocol fixes the integration layer — here's how.
Claw Agents for Higher Education: 12 AI Agents for Universities
12 pre-built higher education agent configurations for OpenClaw and NemoClaw. Cover enrollment, financial aid, academic advising, tutoring, retention, career services, research, and campus IT — all deployable without writing agent code.
Claw Agents for K-12: 12 AI Agents for Schools and Districts
12 pre-built K-12 agent configurations for OpenClaw and NemoClaw. Cover tutoring, lesson planning, assessment creation, writing feedback, special education support, student safety, and family communication.
Claw Agents for Small Business: 8 AI Agents for Growing Companies
8 pre-built small business agent configurations for OpenClaw and NemoClaw. Cover customer support, sales, bookkeeping, social media, scheduling, hiring, inventory, and website management — built for teams that cannot hire for every role.
Supply-Chain Attacks and AI Security Agents: Why Owning Your AI Infrastructure Is No Longer Optional
A major supply-chain attack on LiteLLM and Google's new AI security agents at RSA 2026 reveal the same truth: organizations need to own and control their AI infrastructure.
MCP Is Becoming the USB Port for AI Agents — Here's What That Means for Your Organization
WordPress just opened its platform to AI agents via MCP. Samsung is investing $73 billion in agentic AI chips. As agent-to-system connectivity becomes the new battleground, organizations need to understand what MCP means for their AI infrastructure — and why owning that layer matters.
AI Agents Are Breaking Out of Chat Boxes — But Who Controls Them?
WordPress opened MCP so AI agents can publish content. Meta deployed AI agents for support at scale. Samsung is investing $73B driven by agentic AI demand. The infrastructure is being built — but organizations need to own their agents, not rent them.
MCP Is Becoming the TCP/IP of AI Agents — And Your Organization Needs to Pay Attention
WordPress.com just made 43% of the web agent-addressable via MCP. Meta is replacing human moderators with AI agents. Signal's creator is encrypting AI conversations. These aren't isolated events — they're the beginning of an agentic infrastructure era. Here's what organizations need to understand.
Samsung's $73 Billion Bet on Agentic AI — And What It Means for Your Organization
Samsung's $73B AI chip investment signals what the industry already knows: agentic AI — where interconnected agents run across an organization's operations — is the next infrastructure layer. Here's what that means technically, and how organizations should prepare.
Why Sandboxed AI Agents Are the Future of Organizational AI — And What Nvidia's NemoClaw Tells Us
Nvidia's NemoClaw launch at GTC 2026 validates what forward-thinking organizations already know: AI agents need isolated, policy-governed sandboxes to be safe, composable, and truly useful. Here's why sandbox architecture matters and how to build an agent infrastructure you actually control.
AI Agents Are Getting Wallets. Here's Why They Also Need an Operating System.
Stripe's Machine Payments Protocol gives AI agents the ability to pay. But payments are just one capability agents need. Here's what a complete agentic infrastructure actually looks like.
Cracking Higher Ed: Why EdTech Startups Miss the Mark — Philippos Savvides at SXSWedu 2026
Philippos Savvides from ASU's ScaleU program presented a diagnostic framework at SXSWedu 2026 that explains why most EdTech startups fail to sell into higher education — and what founders should do instead. We break down every idea in detail.
Nvidia's NemoClaw and the Rise of Sandboxed AI Agents: Why Organizations Need to Own the Box
Nvidia's NemoClaw announcement at GTC 2026 validates what forward-thinking organizations already know: AI agents need isolated, ownable infrastructure. Here's what that means technically — and why bolting on security after the fact doesn't work.
The MCP Context Window Problem: Why AI Agent Architecture Matters More Than Model Size
MCP servers are consuming up to 72% of AI agent context windows before a single user message is processed. Here is why smart agent architecture — not bigger models — is the real solution.
Amazon's AI Coding Crisis Reveals What Every Organization Needs: Controlled Agent Infrastructure
Amazon's recent production outages from AI coding agents reveal a fundamental truth: organizations need AI infrastructure they own and control. Here's what the industry can learn.
Why 1 Million Tokens of Context Changes Everything — If You Own the Infrastructure
Anthropic just made 1 million tokens of context generally available. Here's why long context only matters if the infrastructure running it belongs to you.
What Amazon's AI Coding Agent Outage Teaches Us About Deploying Agents in Production
Amazon's AI coding agent Kiro caused a 13-hour AWS outage by deleting a production environment. The incident reveals why organizations need owned, sandboxed AI infrastructure with proper governance — not just smarter models.
Amazon's AI Agent Outage Is a Warning: Why Organizations Need Governed AI Infrastructure
Amazon's AI coding agent Kiro caused a 13-hour AWS outage by deleting and recreating a production environment. The incident reveals why organizations deploying AI agents need architectural governance — not just more human approvals.
An AI Agent Hacked McKinsey in 2 Hours — What It Means for Enterprise AI Security
An autonomous AI agent breached McKinsey's internal AI platform in under 2 hours — exposing 46.5 million chat messages and 57,000 employee accounts. Here's what every organization deploying AI needs to learn from it.