Skip to content

docs: Add contributor guidance problem domain #7

New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

Sign up for GitHub

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Merged
ralphbean merged 2 commits into from
Mar 17, 2026
Merged

docs: Add contributor guidance problem domain #7

Show file tree
Hide file tree
Changes from all commits
Commits
Show all changes
2 commits
Select commit Hold shift + click to select a range
bb8a9b4
docs: Add contributor guidance problem domain
adambkaplan Mar 10, 2026
d45bc26
Merge branch 'main' into contributor-guidance-problem
ralphbean Mar 17, 2026
File filter

Filter by extension

Filter by extension
Conversations
Failed to load comments.
Loading
Jump to
Jump to file
Failed to load files.
Loading
Diff view
Diff view
1 change: 1 addition & 0 deletions README.md
View file
Open in desktop
Original file line number Diff line number Diff line change
Expand Up @@ -25,6 +25,7 @@ This is not a product spec. It's an evolving exploration of a hard problem space
- [Agent-Compatible Code](docs/problems/agent-compatible-code.md) — Language properties that affect agent effectiveness
- [Codebase Context](docs/problems/codebase-context.md) — How agents acquire codebase understanding and how to structure org-level context
- [Human Factors](docs/problems/human-factors.md) — Domain ownership, role shift, review fatigue, and contributor motivation
- [Contributor Guidance](docs/problems/contributor-guidance.md) — Making contribution rules clear to both humans and machines, without requiring AI to participate
- [Performance Verification](docs/problems/performance-verification.md) — Catching agent-introduced performance regressions before they reach production
- [Production Feedback](docs/problems/production-feedback.md) — Konflux runs PipelineRuns at scale; how do platform execution signals (failure patterns, task error distributions, latency trends) feed back into what agents work on and how they assess risk
- [Testing the Agents](docs/problems/testing-agents.md) — CI for prompts: regression testing, eval frameworks, and behavioral verification for agent instructions
Expand Down
Loading