Lode Coding: Persistent Memory for AI-Assisted Development
Details
π§ Lode Coding: Giving Your AI Assistant a Persistent Memory
AI coding assistants can see your code, but they donβt always understand the project context, architecture, or decisions behind it. As a result, every new session can feel like starting from scratch.
π On September 22, weβll explore Lode Coding β an approach that helps AI retain project knowledge and makes AI-assisted development more effective.
What weβll cover:
β How Lode Coding and an AI-owned knowledge base work
β How to use [[AGENTS.md](http://agents.md/)] with AI assistants
β How to preserve architectural decisions and context across sessions
β What several months of real-world Lode Coding experience have shown
β Which tools can help you apply the approach in real projects
π€ Speaker: Pavel Osadchuk β Principal .NET Engineer and Software Architect with 15+ years of experience in software development and architecture.
Meetup details:
β° Time: 16:00 (CEST)
π Duration: 45 minutes
π£οΈ Language: English
π» Online: The streaming link will be sent to the email address provided during registration.
π‘ Less context loss, more value from AI.
