AssemblyAI — Build voice AI apps with a single API
Top reviewed testing and qa software products
Top reviewed
, , and dominate API testing with distinct strengths: Postman excels at collaborative collections, scripted automation, and CI integrations; Insomnia favors a lightweight, environment-centric workflow with reliable REST/GraphQL handling; Thunder Client embeds a streamlined client in VS Code for rapid local testing. Teams pick based on depth of collaboration versus in-editor convenience and performance.
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Bruno is an API client focused on composing and managing requests and collections. Key points from users:
- Collections-as-code: collections are stored as plain-text files on your filesystem so they live alongside your source and can be versioned with Git. (Good replacement for Postman/Insomnia.)
- Local-first: avoids cloud dependency; meant for day-to-day request authoring and debugging.
The comments don’t discuss API load testers, so I can’t provide a sourced comparison here. If you name a specific load tester (e.g. k6, JMeter), I can compare features using available user notes.
Zipy and Octomind MCP show two common patterns for AI-assisted QA: session-based repro plus test-generation agents.
- Zipy: mobile session replay + AI-detected “Oopsie” bugs that provide AI-generated summaries and repro steps, with crash/ANR stack traces and Crashlytics integration—useful for reproducing elusive mobile issues.
- Octomind MCP: connects to Jira/TestRail/Excel and uses agents to generate meaningful test cases from user stories, docs or existing manual tests and help convert them into automated tests.
Use Zipy to capture and reproduce hard-to-find mobile errors; use an agent like Octomind to scale test-case generation from specs.