Glass-Box AI
Pattern documented by Stack Overflow blog (2026): AI approach where each agent decision is explicitly surfaced before commit, with rationale, alternatives considered, and estimated impact. Human can then validate, reject, or nuance. Opposite of `black-box-ai-drift`. Concretely: the agent commits with a structured message (`Decision: chose color-bg-primary over color-accent because...`) or opens a PR with a `DECISION.md` file alongside the diff.
Strengths
- Traceability: each AI decision is versioned, reviewable, post-mortem-able
- Trust foundation: without glass-box, impossible to raise trust-levels (auto-merge, etc.)
- Free training tool: juniors read agent rationales as lessons
Limitations
- Verbosity: longer commits + PRs, may slow human review if poorly calibrated
- Requires discipline: if team skips rationales, pattern degrades to black-box quickly
Best for
- Team scaling AI agents (10+ devs) on code touching DS or brand
- Design system manager wanting to auto-document agent-DS gaps for audits