Reimagining InnerSource for the Agentic AI Era
summary
Agentic AI systems claim to plan, act, verify and iterate end-to-end rather than just answer prompts, using models like ChatGPT 5.0 and toolchains that call GitHub, Jira and local CLIs; agentic workflows are plain‑text slash commands (the open‑source spec kit pattern) stored in repos so agents run reviewed, versioned instructions; examples include reverse‑engineering brownfield repos into Mermaid architecture diagrams in minutes and turning rubrics into automated evaluations that cut weeks of work to days, but implementation is experimental not yet production‑ready.
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chapters (8)
- 0:00Introduction and background
- 1:12Agentic AI explained
- 3:19Agentic workflow patterns
- 5:51Agentic workflows example
- 9:23InnerSource strategic role
- 12:10Agentic workflow patterns in practice
- 15:48Spec-driven development
- 18:17Key takeaways and next steps
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