Gemini Code Assist
AI pair programming has moved from novelty to competitive necessity. Gemini Code Assist sits inside your IDE, reads your codebase, and generates completions, explanations, reviews, and tests in real time. This course teaches you to use it effectively - from first install to enterprise rollout - so you spend more time solving problems and less time writing boilerplate.
Course Lessons
From first install to enterprise governance - follow in order or jump to any topic.
1. The AI Coding Revolution
What Gemini Code Assist is, how it differs from the Gemini model and CLI, and the real productivity case for AI pair programming in 2026.
2. Setup and IDE Integration
Installing Gemini Code Assist in VS Code and JetBrains IDEs, Google Cloud authentication, workspace trust settings, and first-run verification.
3. Code Completion That Actually Helps
How inline completions work, multi-line ghost text, context signals the model reads, and when to trust or verify a suggestion.
4. Chat-Driven Development
The chat panel, slash commands, @workspace and @file context anchors, and the patterns that get useful answers instead of generic ones.
5. Code Review and Refactoring
Using Code Assist for diff-level review, spotting bugs before CI does, safe refactoring patterns, and a security-aware review workflow.
6. Testing and Documentation Generation
Generating unit tests, edge-case scenarios, docstrings, and README files - plus how to verify that AI-generated tests actually test the right thing.
7. Enterprise Features and Administration
Standard vs. Enterprise tiers, admin controls, code customization, data governance, compliance settings, and audit logging for regulated environments.
8. The Developer Playbook
Workflow integration checklist, prompting for code quality, the trust-but-verify maturity model, and what experienced teams stop delegating to AI.
What You Will Learn
By the end of this course, you will be able to:
Configure and Authenticate
Install Gemini Code Assist in any supported IDE, connect it to a Google Cloud account, and tune workspace settings for your project type.
Write Faster with Completions
Use inline completions and multi-line ghost text effectively, understand what context the model reads, and know when to accept or reject suggestions.
Chat Like a Senior Engineer
Use @workspace, @file, and slash commands to get precise, context-aware answers and code changes - not generic boilerplate.
Deploy Responsibly at Scale
Configure enterprise controls, data governance policies, code customization, and audit logs so your organization uses AI coding tools safely.
Go Deeper: Companion Courses
Gemini Code Assist is built on Google's Gemini models. These courses cover the broader ecosystem.
Google Gemini
The AI model powering Code Assist. Learn what Gemini is, how its multimodal capabilities work, and how to prompt it effectively in Google products.
Gemini CLI
Gemini in the terminal. Complement your IDE workflow with CLI-based code generation, file operations, and agentic task execution.
Google AI Studio
The browser-based playground for Gemini. Use it to prototype prompts, test code generation, and experiment before bringing patterns into your IDE workflow.
Prompt Patterns That Survive Production
The principles behind good chat prompts apply inside your IDE too. Output contracts, role anchoring, and failure-mode diagnosis that keep AI responses predictable.
AI Agent Frameworks in Practice
When Code Assist is not enough and you need autonomous agents: LangGraph, CrewAI, and the OpenAI Agents SDK compared with real code.
GitHub Copilot
The alternative AI coding assistant. Compare Copilot's chat, completions, and workspace features against Gemini Code Assist to choose the right tool for your team.
Go Deeper With Expert Courses
Recommended learning resources from our partners. Affiliate disclosure.
DataCamp - AI & Data Science
Hands-on Python, machine learning, and AI courses with interactive exercises and real projects. Track-based learning for practitioners.
DataCampedX - Top AI Courses
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