# plasma-umass/ChatDBG

ChatDBG - AI-assisted debugging. Uses AI to answer 'why'

Repository: https://github.com/plasma-umass/ChatDBG
Canonical: https://ross.abutalabs.com/products/chatdbg
Language: Python
License: Apache-2.0
License Family: permissive
Topics: debugger, debugging-tools, gpt-3, python, lldb, c-programming, cpp-programming, pdb
Last push: 2026-07-20T15:10:04+00:00

## Health v2 (maintenance only)
Score: 71/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 93, release rhythm 31, longevity 90
- inputs: {"age_days": 1263, "days_push": 44, "days_rel": 301, "gap_med": 157.0, "n_releases_24m": 3}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1118, forks 90 (observed 2026-08-28T04:03:39.269575+00:00)

## What it is
ChatDBG is an AI-assisted debugging tool that integrates large language models into standard debuggers (pdb, lldb, gdb) for C/C++/Python/Rust code. It lets developers ask open-ended questions like 'why is x null?' and automatically steers the debugger to perform root cause analysis and suggest fixes.

## Use cases
- debug a python crash by asking why it happened
- find root cause of a segfault in c++ code
- get suggested fixes for null pointer errors
- ask open-ended questions inside pdb or lldb
- diagnose stack overflow errors with AI help

## When to choose
- you use pdb, lldb, or gdb and want AI-assisted root cause analysis
- you debug C/C++/Python/Rust and want conversational 'why' questions answered
- you have an OpenAI API account and want automated error diagnoses

## When to avoid
- you need offline debugging without an LLM API dependency
- you use debuggers other than pdb, lldb, or gdb
- you cannot send code context to a third-party AI service

## Facets
- artifact type: cli-tool
- maturity: active
- function: developer-tools, cli, llm-inference
- domain: developer-tools, large-language-models
- platform: cli, python, cross-platform, windows
- tags: debugger, pdb, lldb, gdb, ai-assistant, root-cause-analysis, c, cpp, rust, debugging, macos, linux

## Member repositories
- plasma-umass/ChatDBG (main) score 71

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:39.269575+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:41:49.822273+00:00, confidence not recorded.
  - readme: https://github.com/plasma-umass/ChatDBG (fetched 2026-08-28T04:03:39.269575+00:00, sha 6190bb61aef4)
  - registry_pypi: https://pypi.org/pypi/chatdbg/json (fetched 2026-08-29T12:45:34.744115+00:00, sha 31cecf8679d3)
- Data as of 2026-08-30T08:39:29.467469+00:00.