# Practical AI in Platform Engineering: lessons from Port's latest meetup

DevFeed: [Practical AI in Platform Engineering: lessons from Port's latest meetup](<https://devfeed.tech/articles/practical-ai-in-platform-engineering-lessons-from-port-s-latest-meetup-12291.md>)

Original publisher: [Read original article](<https://www.port.io/blog/practical-ai-in-platform-engineering-lessons-from-ports-latest-meetup>)

Author: Matar Peles

Published: 2026-08-10T11:42:45Z

Content type: article

Language: en

Sources: [Developer Experience & Platform Engineering Blog | Port](<https://devfeed.tech/sources/developer-experience-platform-engineering-blog-port.md>)

Topics: [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI-assisted coding](<https://devfeed.tech/topics/ai-assisted-coding.md>), [Code review](<https://devfeed.tech/topics/code-review.md>), [sdlc](<https://devfeed.tech/topics/sdlc.md>), [Code generation](<https://devfeed.tech/topics/code-generation.md>), [Incident response](<https://devfeed.tech/topics/incident-response.md>), [Infrastructure as code](<https://devfeed.tech/topics/infrastructure-as-code.md>), [Security](<https://devfeed.tech/topics/security.md>), [vulnerability](<https://devfeed.tech/topics/vulnerability.md>)

Tags: [agentic](<https://devfeed.tech/tags/agentic.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-coding](<https://devfeed.tech/tags/ai-coding.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [iac](<https://devfeed.tech/tags/iac.md>), [ide](<https://devfeed.tech/tags/ide.md>), [incident-response](<https://devfeed.tech/tags/incident-response.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [review](<https://devfeed.tech/tags/review.md>), [sdlc](<https://devfeed.tech/tags/sdlc.md>), [security](<https://devfeed.tech/tags/security.md>), [testing](<https://devfeed.tech/tags/testing.md>)

## AI overview

Port's Tel Aviv meetup examined how engineering organizations are adopting AI in platform engineering. Speakers discussed agentic workflows for bug triage, platform requests, and the SDLC, while an anonymous survey measured AI maturity, production deployments, evaluation practices, human oversight, and concerns about autonomy. Most teams reported having a few SDLC agents but not scaling them broadly; code review and code generation were the most common production uses, while operational applications such as infrastructure, security, and incident response lagged behind.

## Source excerpt

We hosted a meetup with engineering leaders working on AI inside their orgs and ran an anonymous survey. Here's what came out of it.