What is TiGanEval?
TiGanEval is a benchmark proposed in an October 2026 preprint to assess whether coding agents infer project requirements from repository and runtime evidence when the user's initial instruction is incomplete.
Answered in
TiGanEval Tests Whether AI Agents Deliver the Outcome, Not Just Follow the PromptA preprint uses SWE-chat traces to study missing requirements and agent outcomes. TiGanEval is an early diagnostic, not a universal failure rate.
Read the full analysisOther questions this article answers
More development best practices questions
- What did OpenAI’s Habitat team change?
- Does the reported 12× read improvement mean another team should copy the design?
- Does the Python Typing Survey measure all Python developers?
- Do Python type hints enforce types at runtime?
- What is interactive refactoring in gopls?
- Is interactive refactoring already part of the official LSP standard?
- What does Meta mean by human-on-the-loop software engineering?
- Does Meta's Forum project prove that AI can replace a software team?
Every answer on Crashtech is written by the editor of the article it comes from — never auto-summarised. Browse all answers or the Development Best Practices beat.