@SharklyAI Such a clever idea! Turning the awkward “nobody brought a speaker” moment into a synchronized speaker system using everyone’s Macs is both practical and delightfully hacky. Sharkly and Claude make a great combo 👏
July at Apidog, in one thread: a scanner that finds credentials pasted where they shouldn't be, audit logs that answer "who changed that", a CLI that composes test scenarios from assets you already have, and a Postman migration that stops dropping your auth settings.
Apidog is the best way to let an AI agent test your API for you.
Not an AI button bolted on. The whole lifecycle runs from a terminal, and the CLI answers in JSON that tells the agent what command comes next.
The agent writes the endpoint definitions, writes test cases and multi-step scenarios off them, runs the suite in CI, then reads the json report to see what it broke.
You can walk away because writes land on a dedicated AI branch, not main, and cli-schema validate kills invented field names before they hit anything.
Great to see llms.txt adoption growing! Now @ApidogHQ has also added support for llms.txt - developers can now simply open llms.txt files directly from published API docs to get started. Making LLM integration even more accessible!
"Vibe coding" w/ llms.txt + LangGraph
We've released llms.txt files for LangGraph docs and show how to use these w/ a simple MCP server in @cursor_ai, @windsurf_ai, @AnthropicAI Claude code.
MCP server:
https://t.co/AKtHJbG2P7
📽️:
https://t.co/Y8ZH4RWpWh
I posted an article on https://t.co/bUSFKVTuV3: Postman excels for API consumers with rapid request creation, while Apidog shines for development teams needing real-time updates and unlimited testing. Know your needs! #API#Postman#Apidog#DEVCommunity https://t.co/qggoZyx3Er
How to Establish and Validate API Response Data?
To test whether the data structure returned by an interface is standardized, you can use the API documentation module of Apidog.
Click on the link below for more information!
https://t.co/HVLQGmXwRs