AI for Engineering Teams:
Learning Hub

To help organizations build the oversight and infrastructure needed to scale AI across their engineering teams, we created a regularly updated learning hub offering practical guidance on AI governance, agent observability and management, cost control and ROI measurement, and secure AI operations.

AI governance

How you approach AI governance today will make all the difference for the future. Introduce AI tools safely, create policies, manage shadow AI, and establish frameworks that give teams flexibility while maintaining organizational guardrails.

AI Governance for Engineering Teams: A Complete Guide

Discover how to govern AI tools, agents, and usage across engineering teams.

Explore

Shadow AI in Engineering Teams: Risks, Costs, and How to Regain Control

Understand why shadow AI emerges, the risks it creates, and how engineering organizations can regain visibility and control.

Learn More

Enterprise AI Governance Framework for Engineering Teams

Build a governance framework for managing AI adoption across your organization.

Coming Soon

How to Detect and Measure Shadow AI in Engineering Teams

Learn how to identify unapproved AI usage and understand its scale across engineering teams.

Coming Soon

How to Create an AI Usage Policy for Engineering Teams

Create clear guidelines for how developers and engineering teams can use AI responsibly.

Coming Soon

How to Safely Introduce AI Tools Into Engineering Workflows

Learn how to evaluate, introduce, and scale AI tools without creating unnecessary risk or disruption.

Coming Soon

Agent observability

Understanding what AI agents are doing across your engineering organization is a must. Know how to track agent activity, measure workflows, and build the visibility teams need as agentic development scales with these guides.

AI Agent Observability for Engineering Teams: A Complete Guide

Learn how to monitor AI agent activity, behavior, and outcomes across engineering workflows.

Coming Soon

How to Track AI Agent Activity Across Your Engineering Organization

Build visibility into which agents developers use, what they do, and how usage changes across teams.

Coming Soon

Team Agentic Workflows: How Engineering Teams Work With AI Agents

Understand how developers and AI agents coordinate work across team-based engineering workflows.

Coming Soon

How to Set Up Agentic Workflows for Your Engineering Team

Learn how to design and introduce agentic workflows that fit your team's development processes.

Coming Soon

What Is Agent-First Development for Engineering Teams?

Explore agent-first development and what changes when teams design engineering workflows around AI agents.

Coming Soon

How to Use AI Analytics to Drive Developer Tool Adoption

Use AI usage data to understand adoption and help teams get more value from approved developer tools.

Coming Soon

Cost management and ROI

When agentic AI enters the SDLC, costs and usage can quickly spiral out of control. Reduce unnecessary tool proliferation, manage spend, and give teams access to AI without losing oversight.

AI Cost Attribution for Engineering Teams: Track Spend by Agent and Team

Learn how to attribute AI costs to individual agents and teams so you can understand where your engineering team’s AI spend is going.

Coming Soon

How to Reduce AI Tool Sprawl and Vendor Complexity in Engineering Teams

Consolidate AI tooling, reduce overlapping services, and simplify how engineering teams access models and agents.

Coming Soon

How to Reduce AI Tool Costs in Engineering Organizations

Learn how to reduce AI tool costs across the entire software development lifecycle to optimize for cost control and ROI in your team.

Coming Soon

AI security

AI agents can only thrive for your needs if appropriate guardrails are in place. Here’s how to control agent access, isolate execution, and reduce the security risks that come with increasingly autonomous workflows.

Secure AI Agent Operations: A Guide for Engineering Teams

Learn how to operate AI agents securely across engineering environments and workflows.

Coming Soon

AI Agent Sandboxing: How to Isolate Agent Tasks and Limit Blast Radius When Things Go Wrong

Understand how sandboxing isolates agent execution and limits the impact of mistakes or compromised workflows.

Coming Soon

How to Control What AI Agents Can Access: Permissions, Internet, and APIs

Learn how to manage agent permissions and control access to code, tools, external services, the internet, and APIs.

Coming Soon

Secure AI Agent Operations: A Guide for Engineering Teams

Learn how to operate AI agents securely across engineering environments and workflows.

Coming Soon

AI Agent Sandboxing: How to Isolate Agent Tasks and Limit Blast Radius When Things Go Wrong

Understand how sandboxing isolates agent execution and limits the impact of mistakes or compromised workflows.

Coming Soon

How to Control What AI Agents Can Access: Permissions, Internet, and APIs

Learn how to manage agent permissions and control access to code, tools, external services, the internet, and APIs.

Coming Soon

Make AI work better for your team

JetBrains provides the capabilities to put AI into practice with greater visibility and control, from individual development tasks to organization-wide agent management.

AI for Teams and Organizations

Establish organization-wide oversight of engineering AI. Control access to models and agents, monitor usage, manage costs, and provide developers with approved ways to work with AI.

Central CLI

Connect terminal-based coding agents to a centrally managed AI environment. Engineering organizations can standardize access, set usage controls, and gain visibility into how developers use different agents and models.

JetBrains Context

Give coding agents relevant knowledge about your repositories through semantic code intelligence, helping them locate useful context without traversing the entire codebase.

JetBrains Air

Give engineering teams a dedicated environment for developing software alongside AI agents, designed around emerging agent-driven development practices.

JetBrains AI in IDEs

Bring AI capabilities directly into the environments where developers work, combining intelligent assistance, model access, agent functionality, and integrations within JetBrains IDEs.

Junie

Delegate development tasks to an AI coding agent that can reason through a problem, make changes, and validate its work directly within your development environment.