tscircuit / tscircuit/contribution-tracker
Question: new AI-assisted contributor eligibility and sponsorship onboarding
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- Dominant language
- TypeScript
- Stars
- 23
- Forks
- 36
- Avg merge
- 12h 51m
- Merged PRs (30d)
- 6
Description
I’m considering contributing to core#3103 (accepted resistor tolerance is omitted from Circuit JSON) under the monthly contribution sponsorship program. I read the current sponsorship-calculation document and see the recent monthly calculation records.
Before treating this as paid work, could you confirm whether new contributors using AI-assisted research, implementation and tests are eligible, and which payout/onboarding channel a new contributor should use? The work would be submitted under this GitHub account with AI assistance disclosed; I am not claiming a fixed bounty or guaranteed sponsorship.
The technical scope appears to be an optional normalized tolerance field in circuit-json, followed by preserving the already-parsed 0–1 tolerance in core and regression tests. If this program is not currently accepting new contributors, that would also be useful to know.
Update: I am based in China and have no approved freelance-platform account yet. Is there a supported payout/onboarding route for a new contributor resident in China? I also found existing circuit-json tolerance PRs #693 and #699, so I have deferred that candidate rather than submitting a duplicate. The general sponsorship-eligibility question still applies.
Contributor guide
No contributing guide indexed for this repository
First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
- Open a pull request that references the issue number.
Research direction
Start with the current sponsorship-calculation document and the recent monthly calculation records mentioned in the issue. Review the existing comment thread for the current eligibility and onboarding context, including AI-assisted contributions and contributors in China. Done means the supported eligibility and payout route are documented or the question receives a definitive answer.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- github
- Domain
- developer-experience
- Issue type
- Documentation
- Difficulty
- 1/5
- Estimated time
- Under an hour
- Activity status
- Active
- Clarity
- Mostly clear
- Newbie friendliness
- 42/100