Oliver Kingsley
ViewpointAI Writes the Code Now. But Who Manages the APIs?
AI coding agents can build features fast, but APIs still need design, docs, mocks, tests, and governance. Explore how Apidog CLI can become the API management layer between generated code and reliable production software.
Oliver Kingsley
July 16, 2026
ViewpointSpec-First Was Yesterday. Welcome to Skill-First.
API development is changing with AI Agents. Skill-First packages specs, tests, and scenarios into executable, verifiable skills—complementing existing approaches for the Agent era.
Oliver Kingsley
July 6, 2026
TutorialsAI Branch: Safer Project Changes with AI Agents
When an Agent modifies project resources, safety and reviewability matter. AI Branch provides an isolated editing environment—changes enter the target branch only after human confirmation.
Oliver Kingsley
July 6, 2026
ViewpointWhy CI/CD Compatibility is Non-Negotiable for Agent Tools
Agent-friendliness must be built on CI/CD-friendliness. Learn why `apidog run` serves both CI pipelines and AI Agents—and why that dual purpose matters.
Oliver Kingsley
July 6, 2026
ViewpointFrom PRD to Testing Loop: A Complete Agent Workflow with Apidog CLI
Walk through a real example: a team has an Order Refund PRD and codebase. See how an Agent uses Apidog CLI + SKILL to generate OpenAPI, create tests, validate, and verify.
Oliver Kingsley
July 6, 2026
ViewpointThe Numbers Don't Lie: 30% Fewer Tool Calls, 25% Fewer Tokens
We compared MCP vs. CLI + SKILL across typical user tasks. The results: fewer tool calls, less token waste, better error recovery—and the data explains why.
Oliver Kingsley
July 6, 2026
ViewpointSKILL: Shipping Operational Experience as Code
A SKILL is not just a command reference. It's an operating guide for AI Agents: when to use a command, which comes first, what fields shouldn't be guessed.
Oliver Kingsley
July 6, 2026
Viewpoint`agentHints`: Teaching CLIs to Talk to Agents
Traditional CLI output is for humans. Agents need structured results, failure reasons, and next-step suggestions. `agentHints` turns product experience into machine-readable guidance.
Oliver Kingsley
July 6, 2026
ViewpointThe Golden Rule: CLI Produces Facts, Model Acts on Facts
Don't make the model memorize all rules—let rules be executed at the right places. cli-schema validate turns Schema from knowledge into a quality gate.
Oliver Kingsley
July 6, 2026
ViewpointWhy We Developed Brand-new Apidog CLI + SKILL
We built Apidog CLI + SKILL to handle what MCP doesn't optimize for: complex workflows with validation gates and structured execution.
Oliver Kingsley
July 6, 2026
ViewpointWe Built 126 MCP Tools. But It Is Not the Best Solution for Agent
When MCP became the industry hotspot, we built a complete MCP Server with 126 generated tools. Here's what went wrong—and why more tools doesn't mean better Agent enablement.
Oliver Kingsley
July 6, 2026
ViewpointBuilding for AI Agents: Apidog CLI Journey
Apidog CLI is a command-line tool for API testing and management. This is a 10-part series exploring how Apidog developed CLLs to work with AI agents — reducing tool calls by 30%, token consumption by 25%, and creating a safer loop for AI-driven API workflows.
Oliver Kingsley
July 6, 2026
ViewpointGit-native APl workplace: How Teams Scale API Development
Transform your API workflow with Git-native development. Sprint branches, merge requests, and real-time sync. See how Apidog helps teams collaborate better.
Oliver Kingsley
June 12, 2026
TutorialsGit-native Collaboration for API Testing and Engineering
Git-native Collaboration for API Testing and Engineering treats API specs, requests, tests, and docs like code: versioned, reviewed, tested, and merged through Git.
Oliver Kingsley
June 10, 2026
Effective StrategiesPostman Costs Too Much for Teams: Best Alternative?
Postman pricing is too expensive for teams. Compare Postman vs Apidog pricing: paid vs free API collaboration. Discover the best Postman alternative for your budget.
Oliver Kingsley
June 8, 2026