lossyrob

E2E Scenario: Missing Index Detection → Approval → Auto-Remediation

This is the parent issue. Sub-issues are the component-level work items.

Objective

Build the first real end-to-end DBAgent scenario: detect a missing index causing high CPU, present the finding to the user, get approval, create the index, and then demonstrate autonomy progression by auto-resolving the same class of problem when the user sets an "always allow" instruction.

This scenario is the vehicle to build the first floor of every DBAgent component — real code, real data flow, real infrastructure. Each component is scoped to exactly what this scenario needs, with clear boundaries on what's deferred.

lossyrob

name	description
multi-model-review	Reviews PRs or code changes using multiple AI models, synthesizes findings, and interactively applies fixes. Uses GPT 5.2, Gemini 3 Pro, and Opus 4.5 for diverse perspectives.

Multi-Model Review

Review PRs or code changes across multiple AI models to get diverse perspectives, then interactively work through findings with the user.

Capabilities

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AIE Code Summit 2025 - Conference Meta-Synthesis

Conference: AI Engineer Code Summit 2025 Talks Analyzed: 40 (19 Day 1 + 21 Day 2) Generated: December 9, 2025

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Bobby Goulash

A hearty, paprika-forward beef stew inspired by Hungarian goulash, Indonesian Rendang, but with plenty of improvisation. This recipe is intentionally flexible—treat it like a framework you can riff on.

Note: I believe this is more of a Pörkölt, another Hungarian dish, but I did have Goulash in Budapest similar to this recipe.

Inspired by these:

• Hungarian Beef Goulash Recipe
• Beef Rendang (Spicy "Dry" Curry Beef)

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Microsoft AI for Earth track schedule

All times UTC-3 (ART)

Session 1

8:00 AM

FOSS4G and the climate crisis: Let's get to work

Rob Emanuele, Microsoft

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Forcing an Azure Batch node to pull from ACR

Sometimes you want to keep a node in an Azure Batch pool up and running as you're debugging tasks so that you don't have to pay the waiting time to spin up and down a node. You may want to push a new image to ACR with the same tag to run the job based on fixes based on the last run. However, Azure Batch nodes don't pull an updated image by default, and will run with the same image if a task is run again even if ACR has been updated.

The best solution I've found to speed things up is:

• In Batch Explorer, go to the pool view, right click on the node, and "connect"
• This will ssh into the node. Inside of the shell, run:

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