AI Week Learnings - March 2, 2026

Session 1: AI Toolkit & The Architect Mindset

Speaker: Bharath

Key Philosophies

Human-on-the-Loop: Shift from being a bottleneck (responding to every chat) to an Architect. Plan with the AI, let it execute and verify, and only intervene on escalation.
The AI Team: Treat agents as a managed team. 10x gains are felt through rapid prototyping and data insights.

Tool Highlights

Metamate (Advanced Auto): Best for drafting posts and documents; uses LLM VM for higher quality.
Manus: Fully autonomous. Generated the session's entire slide deck and website.
Analytics Agent: Premier data tool. Locates tables, writes SQL, and generates visualizations automatically.
Cloud Code: Terminal-based and "insanely customizable" via the Cloud Templates marketplace.
Second Brain: Essential for persistent context/memory across all Meta AI tools.
SuperWhisper: Voice-to-text for long prompts and chat responses to avoid physical strain.

Session 3: Rules & Skills Deep Dive

Speaker: Julian

Key Principles

Context as Currency: The context window is precious. Use Rules for high-level orientation and Skills for specific, deep-dive tasks.
Targeting Logic: Effective skills rely on precise triggering (targeting). If a skill isn't firing, refine the "trigger" criteria in the YAML front matter.
Examples > Explanations: Providing few-shot examples in a skill file is significantly more effective than long descriptive instructions.
Hierarchy: A flat hierarchy of skills is preferred over nested delegation, as agents can lose focus during deep traversing.

Session 4: AI Native Code Review

Speaker: James

The "Wave of Diffs"

AI adoption is exponentially increasing the volume and size of diffs, creating a review bottleneck.
DevMate Code Review (DCR): A holistic agent that performs structured, line-level reviews across Meta's diverse codebase.
RADR (Risk-Aware Diff Auto-Review): A pilot program allowing low-risk, high-quality diffs (e.g., doc updates, trivial lint fixes) to land without human review if they pass AI muster.
ADR Platform: The underlying infrastructure that orchestrates these AI review signals in Phabricator.

Session 5: Best Practices Panel

Panelists: Josh, Andy, Sam, Alexander

Expert Strategies

Clear Intent: Avoid "lazy" prompting. Explain the why and the what clearly.
Project Record: Keep a running record of milestones and progress (e.g., in a plan.md) to avoid context loss across sessions.
Research Phase: Mandatory for complex tasks. Ask the AI to audit the system and explain how it works before it writes a single line of code.
Validation: Shift from manual testing to AI-driven validation. The AI should "use the app" or run tests to verify its own work.
"I Declare Bankruptcy": Don't try to keep up with every new AI post/tool. Focus on a stable subset that works for your specific workflow.

Session 6: Cloud Code & Dump App

Speaker: Growth Team

Advanced Tooling

Dump App: A CLI tool allowing agents to interact with mobile apps (view hierarchy, memory usage, navigation) directly from the terminal.
Persistent Memory: Mounting Google Docs (via the AI_area folder) to store worklogs and context, ensuring it survives across on-demand/Dev Server reboots.
Switching Protocols: If one tool (Cloud Code or DevMate) is struggling, switch to the other.

Action Item: Signup link for "AI Tool Domain Experts" to be shared soon. Volunteers will act as the go-to specialists for specific tools within their teams.

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