Why Every Developer Needs Their Own AI Knowledge Base (It's Easier Than You Think)

Ever feel like you're drowning in documentation scattered across Confluence, Slack, Jira, and Git commits? Kyle Fransham, Senior VP of R&D at Superna, shares why every developer should run their own local LLM and shows you exactly how to do it.

In this GitKon talk, Kyle reveals how to turn your personal "master document of knowledge" into a queryable AI assistant running directly on your laptop. No cloud dependencies, no organization bottlenecks...just your own development copilot that understands your unique workflows, tips, and tribal knowledge.

What You'll Learn:

• Why local LLMs are a game-changer for developer experience
• How to set up Ollama and run Llama 3.2 (1B parameters) on your laptop
• Training an LLM on your personal documentation in under 2 minutes
• Practical examples: querying procedures, finding URLs, and accessing contextual dev info
• Why central organizational LLMs aren't enough for individual developers

GitKraken Desktop:
http://tr.ee/GKDYT

GitKraken CLI:
http://tr.ee/CLIYT

GitLens for VS Code:
http://tr.ee/GLYT

Git Integration for Jira:
http://tr.ee/GijYT

Git Blog:
http://gitkraken.com/blog