People

Sneha Tuli

Principal Product Manager, Microsoft.

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Opens a new chat with a prompt that points the assistant to this archive. What it writes is its own, not the archive's: check any quotation on its passage page before you rely on it. Or add the archive to your assistant as a connector: https://the-ai-record.com/mcp (how).

Principal Product Manager at Microsoft who leads development and rollout of AI-powered tools for developer productivity, security and compliance; the post's author page says she spearheaded PRAssistant.

Why their word counts: Leads the rollout of the pull request assistant she describes, so she is an insider; Microsoft sells AI tooling and the post ends by promoting GitHub Copilot, so it is promotional.

Profile from this source, checked 2026-11-04.

In their words

Per early experiments and data science studies, 5000 repositories onboarded to AI code reviewer observed 10 – 20% median PR completion time improvements.

Sneha TuliPrincipal Product Manager · Leader, Microsoft

Post: Enhancing Code Quality at Scale with AI-Powered Code Reviews, Engineering@Microsoft blog, July 14, 2025, at Impact on quality and velocity.

  • 10% median pr completion time improvement low, early experiments, 5000 onboarded repositories. AI assists a person
  • 20% median pr completion time improvement high, early experiments, 5000 onboarded repositories. AI assists a person

Checked against the source [ Grade B ] One to two years old Microsoft: $332 billion revenue, FY2026 Sells AI tools Passage page

This AI Assistant started as an internal experiment and now has scaled to support over 90% of PRs across the company impacting more than 600K pull requests per month.

Sneha TuliPrincipal Product Manager · Leader, Microsoft

Post: Enhancing Code Quality at Scale with AI-Powered Code Reviews, Engineering@Microsoft blog, July 14, 2025.

  • 90% prs covered share, as of July 2025 (post date). AI assists a person
  • 600,000 pull requests per month prs per month, as of July 2025 (post date). AI assists a person

Checked against the source [ Grade B ] One to two years old Microsoft: $332 billion revenue, FY2026 Sells AI tools Passage page

We have seen scenarios where PRs waited days and even weeks before getting merged, or where important feedback was missed. These pain points motivated us to try AI assistance in the review process. The goal was to let AI handle the repetitive or easily overlooked aspects of reviews, freeing human reviewers to focus on higher-level concerns.

Sneha TuliPrincipal Product Manager · Leader, Microsoft

Post: Enhancing Code Quality at Scale with AI-Powered Code Reviews, Engineering@Microsoft blog, July 14, 2025, at Solving the real problems in PR reviews with AI.

Checked against the source [ Grade B ] One to two years old Microsoft: $332 billion revenue, FY2026 Sells AI tools Passage page

When AI suggests code changes, it does not commit them directly. The author remains in control—reviewing, editing, and deciding whether to accept the suggestion by explicitly clicking ‘apply change’ option.

Sneha TuliPrincipal Product Manager · Leader, Microsoft

Post: Enhancing Code Quality at Scale with AI-Powered Code Reviews, Engineering@Microsoft blog, July 14, 2025, at Solving the real problems in PR reviews with AI.

Checked against the source [ Grade B ] One to two years old Microsoft: $332 billion revenue, FY2026 Sells AI tools Passage page

Teams across the company are leveraging these customizations to perform specialized reviews, like identifying regressions based on historical crash patterns or ensuring flight and change gates are in place.

Sneha TuliPrincipal Product Manager · Leader, Microsoft

Post: Enhancing Code Quality at Scale with AI-Powered Code Reviews, Engineering@Microsoft blog, July 14, 2025, at Customization: tailoring review for your team.

Checked against the source [ Grade B ] One to two years old Microsoft: $332 billion revenue, FY2026 Sells AI tools Passage page