Test Case Generator
Full test suites from function signatures
Feed function signatures, docstrings, or existing implementation code to generate comprehensive unit test suites — covering happy paths, edge cases, boundary conditions, and error scenarios in your testing framework of choice.
Claude Sonnet 5.5
for 700K tokens a month · 60% input / 40% output
Why this model
For this workload — 700K tokens a month, 60% of them input — it comes to about $5.2 a month. GPT-6.1 Sol is cheaper at $3.6, but scores 1 points lower on our editorial scale for this kind of task. The estimate includes its tokenizer, which turns the same text into about 43% more tokens than OpenAI's.
Alternative models
Implementation tips
- 1
Specify your testing framework, assertion library, and mock patterns in the system prompt with an example test file — the model will generate idiomatically correct tests that slot into your existing suite without rewrites.
- 2
Ask explicitly for edge cases by category: empty inputs, null values, boundary integers, very long strings, and concurrent access — models default to happy-path tests unless you enumerate the edge case classes you want covered.
- 3
Run the generated tests immediately and feed failures back to the model in a second turn asking it to fix them — this feedback loop typically resolves 90% of generated test failures without manual intervention.