Contribute-to-hire: picking a winnable issue (verify rules + -linked:pr)
How to pick an open-source issue you can actually merge — the verify-first checklist (no assignee, no open PR, no backend blocker) and the GitHub `-linked:pr` search trick.
Contribute-to-hire: picking a winnable issue (verify rules + -linked:pr)
Status: Outline — full guide coming soon. Get notified when it ships →
What this covers
- The verify-first checklist before you write a single line of code (no assignee, no open PR, no stale-PR ghost, no upstream blocker)
- The GitHub
-linked:prsearch modifier that filters out issues someone is already on - Why "good first issue" labels are often the worst issues to pick (everyone is fighting for them)
- The right scope: bug fixes > docs > small features > refactors
Why this matters for Indian devs going remote
The most common contribute-to-hire failure: you pick an issue, ship a PR in 3 days, and discover an existing PR was already merged or someone is mid-stream. Twenty hours wasted, zero signal. The verify-first checklist is the single rule that converts contribution time into hire signal.
Outline
The verify-first checklist
TODO — assignee, linked PRs, comments from maintainers, upstream dep blockers, related closed PRs.
The -linked:pr search trick
TODO — full query: is:issue is:open label:bug -linked:pr -assignee:* sort:created-desc, why each filter matters.
Why "good first issue" is often a trap
TODO — high contention, often outdated, gets you into a queue of 8 PRs.
The right scope
TODO — bugs (signal: reading-code + reproducing), docs (signal: writing), small features (signal: design), refactors (signal: domain knowledge — risky early).
Common mistakes to avoid
- Asking "can I work on this?" before checking the verify-first list — you'll get assigned to a dead issue
- Picking an issue requiring a backend change you can't run locally
- Going for the first "good first issue" with 40 comments
Templates / examples
TODO — the verify-first checklist as a printable card, 5 copy-paste GitHub search queries by repo size, and a decision tree for scope.
Related guides
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