Leaping – Debug Python tests instantly with an LLM debugger
Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically reproduces, root causes and ultimately fixes production bugs as they happen. You can see some of our work on this here - https://news.ycombinator.com/item?id=39528087 As we were building the root-cause phase of our automated debugger, we realized that we developed…
Leaping – Debug Python tests instantly with an LLM debugger launched on March 22, 2024 with 120 votes, #524 of 4,270 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 2 years on.
In plain words
Leaping is a pytest plugin that uses an LLM to debug Python tests by analyzing execution logs in natural language. Developers can interact with it conversationally to understand variable states and behavior over time, similar to an omniscient debugger but at a higher abstraction level. It's designed for teams looking to speed up the debugging process during test development.
written from the facts on this page · September 2026
From the sources
Contribute to leapingio/leaping development by creating an account on GitHub.
In the maker’s words, at launch
Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our lives combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We’re currently working on a platform that ingests logs and then automatically…
Does a similar job
all alternatives →- LOLeaping – Open-source debugging with LLMs2024 · ▲15
Show HN: Leaping - Open-source debugging with LLMs Hi HN! We’re Adrien and Kanav. We met at our previous job, where we spent about a third of our life combating a constant firehose of bugs. In the hope of reducing this pain for others in the future, we’re working on automating debugging. We started by capturing information from running applications to then ‘replay’ relevant sessions later. Our approach for Python involved extensive monkey patching: we’d use OpenTelemetry-style instrumentation to hook into the request/response lifecycle, and capture anything non-deterministic (random,…
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