Casely vs Tesbo

Casely turns software requirements into QA test cases through a conversation with Claude. It accepts PDF, DOCX, XLSX, TXT, and Markdown files, as well as pasted text. Before writing cases, Casely proposes coverage by module, estimates case counts, flags specification gaps, and waits for approval. Its test design uses equivalence partitioning, boundary value analysis, decision tables, state transitions, and error guessing. The tool can follow the columns, order, tone, and ID scheme of an existing test-case file. Exports include one Excel file and a Markdown file for each case; the Excel output is described as importable into TestRail, Qase, Zephyr, and Xray. When requirements identify API endpoints, it can create a Postman collection with an environment file and run instructions, without embedding credentials. Casely runs with Claude Code, claude.ai, and the Claude desktop app. A browser version with uploads and team review is in early access. The QA skill is free, open source, and MIT-licensed.

Tesbo is an AI-driven test management platform that uses project context to draft test cases. Its Context Engine reads Jira and Linear stories, existing cases, and product documentation, then cites source requirements and documents. A requirements traceability matrix fills from generated cases, while engineers approve, edit, or reject each case before repository entry. Tesbo also provides nested suites, priorities, rich steps, bug tracking, test runs, plans, and reports. Reports include pass rates, flaky-test detection, and risk hotspots. The MCP server can provide project context to Claude, Cursor, or another agent under human-approval rules, and audit logs record actions by agents and people. Tesbo runs on the web, through an API, or on customer-managed infrastructure. Community is a complete open-source Apache 2.0 edition for self-hosting. Launch is free at free with two projects and 500 MB storage. Pro costs $40 a month, billed monthly, with unlimited projects and team members and 5 GB storage.