Will AI Assistant make developers redundant?
summary
JetBrains AI Assistant lives inside IntelliJ IDEA and combines project-aware context with LLMs to refactor and explain code, search the repo for SQL or commits, generate commit messages and boilerplate, and even generate unit tests and shell commands. Studies show modest speedups (GitHub: 78% vs 70% task completion) and JetBrains reports up to eight hours saved for some users. It finds problems, helps resolve merge conflicts, and runs locally or on-prem for privacy, but it hallucinates, struggles with math, and requires human review.
AI-written summary · about
chapters (7)
- 0:00AI in software development
- 2:22Will AI take developer jobs?
- 4:56Measuring developer productivity
- 9:42Demonstrating AI assistant features
- 17:35Advanced IDE AI workflows
- 30:50Challenges and limitations
- 35:30Future of AI in coding
related talks
58mAI Assistant: Don’t Code Alone
22mTaking ReSharper to the next level with JetBrains AI Assistant
08mAI inside the IDE
41mBuilding with AI in Kotlin
24mDevelopers and AI Enemy or Frenemy Leveraging AI and Atlassian to empower developers
27mAI for software development: A reality check
41mAI Tooling for Scala Developers - What JetBrains Brings to the Table
52mResistance Is Futile