feat: add guidance collected from the ispo working group#113
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jeffabailey wants to merge 4 commits intomainfrom
Open
feat: add guidance collected from the ispo working group#113jeffabailey wants to merge 4 commits intomainfrom
jeffabailey wants to merge 4 commits intomainfrom
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Pull request overview
Expands the “InnerSource and AI” documentation set with additional guidance on knowledge capture, discoverability, data foundations, and governance/leadership considerations that arise when using AI and agentic coding at scale.
Changes:
- Adds guidance on capturing and sharing non-code assets (patterns, enablement content, tutorials, operational/architectural learnings) as AI training/grounding material.
- Emphasizes discoverability as a key scaling challenge for InnerSource in AI-augmented organizations.
- Adds risk/guardrail guidance on proprietary knowledge boundaries and accountability when managing both people and AI agents.
Reviewed changes
Copilot reviewed 4 out of 4 changed files in this pull request and generated no comments.
| File | Description |
|---|---|
| innersource-and-ai/why-innersource-matters-with-ai.md | Adds sections on non-code knowledge capture, discoverability, and a data foundation as key factors for AI-era InnerSource success. |
| innersource-and-ai/shaping-for-ai.md | Adds a discoverability-focused paragraph reinforcing tagging/description/indexing as prerequisites for effective reuse and AI assistance. |
| innersource-and-ai/risks-and-guardrails.md | Adds new sections on proprietary knowledge boundaries and leadership/accountability in mixed human+agent workflows. |
| innersource-and-ai/innersource-and-ai.md | Updates the section introduction to include non-code knowledge, data foundations, and broader context-sharing goals. |
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The GQM update workflow only generates a Mermaid diagram and never produces NYC coverage output, so the coverage reporting step always failed with a missing file error. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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