Goal
Ship a Dockerfile and a documented one-line container run that produces a generated report. Goal: a reviewer with no Python installed can see what AICertify produces in under two minutes.
Why this matters
Many enterprise reviewers (legal, compliance, security) cannot install Python directly. A Docker path lowers the barrier from 'install Python + poetry' to 'docker run'.
Files likely involved
- New:
Dockerfile at repo root (or under docker/)
- New:
docs/integrations/docker.md
- Possibly: a
docker-compose.yml if multi-container makes sense
Acceptance criteria
Help
Comment here if you want to work on this and I will help you get started. First-time contributors are welcome — open a draft PR early and I'll review.
Goal
Ship a
Dockerfileand a documented one-line container run that produces a generated report. Goal: a reviewer with no Python installed can see what AICertify produces in under two minutes.Why this matters
Many enterprise reviewers (legal, compliance, security) cannot install Python directly. A Docker path lowers the barrier from 'install Python + poetry' to 'docker run'.
Files likely involved
Dockerfileat repo root (or underdocker/)docs/integrations/docker.mddocker-compose.ymlif multi-container makes senseAcceptance criteria
docker build -t aicertify .produces a working image under 1 GBdocker run --rm aicertifyruns the quickstart and prints the path of the generated reportdocker run -v /home/kapil/Projects/AICertify/contracts:/contracts aicertify ...accepts user contractsHelp
Comment here if you want to work on this and I will help you get started. First-time contributors are welcome — open a draft PR early and I'll review.