# Agentic SDLC in Practice: Insights from Engineering Leaders

DevFeed: [Agentic SDLC in Practice: Insights from Engineering Leaders](<https://devfeed.tech/articles/agentic-sdlc-in-practice-insights-from-engineering-leaders-12141.md>)

Original publisher: [Read original article](<https://www.port.io/blog/agentic-sdlc-in-practice-insights-from-engineering-leaders>)

Author: Matar Peles

Published: 2026-08-10T11:42:34Z

Content type: article

Language: en

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

Topics: [sdlc](<https://devfeed.tech/topics/sdlc.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [AI Agent](<https://devfeed.tech/topics/ai-agent.md>), [Platform Engineering](<https://devfeed.tech/topics/platform-engineering.md>), [Model Context Protocol](<https://devfeed.tech/topics/model-context-protocol.md>), [MCP Server](<https://devfeed.tech/topics/mcp-server.md>), [incident](<https://devfeed.tech/topics/incident.md>), [Data Quality](<https://devfeed.tech/topics/data-quality.md>), [Amazon Bedrock](<https://devfeed.tech/topics/amazon-bedrock.md>), [Slack](<https://devfeed.tech/topics/slack.md>), [cursor](<https://devfeed.tech/topics/cursor.md>), [Pull Request](<https://devfeed.tech/topics/pull-request.md>)

Tags: [agent](<https://devfeed.tech/tags/agent.md>), [agentic](<https://devfeed.tech/tags/agentic.md>), [agents](<https://devfeed.tech/tags/agents.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-agent](<https://devfeed.tech/tags/ai-agent.md>), [bedrock](<https://devfeed.tech/tags/bedrock.md>), [coding](<https://devfeed.tech/tags/coding.md>), [cursor](<https://devfeed.tech/tags/cursor.md>), [data-quality](<https://devfeed.tech/tags/data-quality.md>), [engineering](<https://devfeed.tech/tags/engineering.md>), [incident](<https://devfeed.tech/tags/incident.md>), [mcp](<https://devfeed.tech/tags/mcp.md>), [mcp-server](<https://devfeed.tech/tags/mcp-server.md>), [platform-engineering](<https://devfeed.tech/tags/platform-engineering.md>), [python](<https://devfeed.tech/tags/python.md>), [review](<https://devfeed.tech/tags/review.md>), [sdlc](<https://devfeed.tech/tags/sdlc.md>), [server](<https://devfeed.tech/tags/server.md>), [slack](<https://devfeed.tech/tags/slack.md>), [workflow](<https://devfeed.tech/tags/workflow.md>)

## AI overview

Engineering leaders share practical examples of an agentic SDLC, including autonomous Jira ticket resolution through pull request creation and AI-powered incident triage. The article highlights adoption challenges such as siloed agents, missing governance, and the need for a shared registry of agents, skills, and MCPs.

## Source excerpt

Engineering leaders share how agentic SDLC works in practice: what scales adoption, where teams get stuck, and how to maximize AI ROI.