History Management in Brokk
One of the biggest challenges in AI-assisted development is maintaining consistent context across large, evolving codebases. In this video, we explore how Brokk solves this with its powerful history management system.
Maintaining Context Over Time with Brokk’s History Management ⏳🤖
One of the biggest challenges in AI-assisted development is maintaining consistent context across large, evolving codebases. In this video, we explore how Brokk solves this with its powerful history management system.
Brokk doesn’t just run one-off AI prompts — it builds a persistent understanding throughout your session, letting you write, refactor, and debug with AI that truly remembers your project.
🎓 What you’ll learn:
- How Brokk tracks context over time during extended workflows
- The role of conversation history, symbol tracking, and semantic memory
- How history enables consistent naming, architecture decisions, and implementation across files
- Why history-aware AI outperforms prompt-only tools on large codebases
- Real examples of Brokk helping users debug, refactor, and extend features more reliably
This feature is essential for anyone using LLMs in real development, especially for multi-step coding tasks. With Brokk’s history management, AI becomes more than just a one-shot assistant — it becomes a collaborator that gets smarter the longer you work.
