World Congress 2024 • Aug 20, 2024 • Session details

Postgres in the Age of AI (and Devin)

Nikita Shamgunov

Autonomous agents like Devin are taking over tedious database migrations. Learn to adapt your Postgres infrastructure for multi-agent systems and embrace the new AI-driven development lifecycle.

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#1 about 3 min

Rapidly provisioning serverless Postgres instances with Neon

Spinning up a serverless Postgres database instantly accelerates rapid application development.

#2 about 3 min

Migrating existing applications from MongoDB to Postgres

Assessing the complexity of transitioning an existing MongoDB application to a relational Postgres schema.

#3 about 5 min

Automating database migration tasks using Devin AI

How an AI software engineer automatically generates pull requests to move a collection to normalized relational tables.

#4 about 3 min

Prompting AI agents for successful application infrastructure changes

Refining prompts effectively guides AI tools in discovering APIs and generating correct migration logic.

#5 about 3 min

Analyzing autonomous AI planning and error recovery workflows

Following a multi-agent system as it encounters provisioning errors, debugs logs, and autonomously completes database tasks.

#6 about 3 min

Aligning serverless infrastructure properties with AI agent requirements

Why autoscaling compute and database branching are crucial when AI agents autonomously manage stateful deployments.

#7 about 2 min

Leveraging AI agents as iterative software engineering tools

Overcoming the learning curve of autonomous agents allows teams to offload routine infrastructure maintenance.

#8 about 2 min

Shifting emphasis from developer experience to AI experience

Adapting infrastructure to provide rapid provisioning and isolated test environments ensures bots operate efficiently and safely.

#9 about 2 min

Making Postgres databases stateless using cloud-native storage systems

Decoupling storage from database compute enables rapid horizontal scaling and instant preview instances.

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1:17 min

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1:55 min

Shifting developer workloads and realistic AI productivity gains

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4:08 min

Transitioning software engineering teams to AI-native development workflows

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4:37 min

Transitioning to a hybrid human and agent workforce

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2:20 min

Transitioning to AI-native engineering teams and workflows

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2:23 min

The transforming role of developers in the AI era

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