Building an Internal Developer Platform with Artificial Intelligence

📰 InfoQ AI/ML

Learn how to build an internal developer platform with AI using agents and semantic search

intermediate Published 17 Sept 2026

Action Steps

Implement semantic search using tools like Git, Slack, and Jira to provide context for agents
Set guardrails to control agent behavior and block or allow specific actions
Use logs, metrics, and traces to monitor and understand agent behavior
Configure agents to integrate with existing development tools and workflows
Test and refine the internal developer platform to ensure seamless integration and optimal performance

Who Needs to Know This

DevOps and software engineering teams can benefit from this approach to streamline development workflows and improve productivity

Key Insight

💡 Agents can become the new developer platform, leveraging semantic search and context from various tools to improve development workflows

Full Article

Agents are becoming the new developer platform, using semantic search with data from tools like Git, Slack, and Jira for context. Things to consider are setting guardrails to block or allow things, and using logs, metrics, and traces to understand agent behavior. By Ben Linders

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