TL;DR: Markdown files as tasks. Agents jot down side-findings instead of ignoring them. Forced reflection after every completion. You control when learnings become the next task. Two interfaces (TUI + CLI), zero infrastructure. brew install erikmunkby/tap/lazytask ( github link ). Open source and built in rust. After thousands of hours of AI-assisted development, hobby projects to enterprise platforms, what didn’t work for me was: autonomous swarms, orchestrated AI teams, and auto-memory systems that filled up with unreviewed noise. What has worked best for me by far, is the “AI as an exoskeleton” approach. Staying in control while using AI as a serious productivity boost. Towards this way of working, I was always lacking a tool that was simpler than something like Beads, but a couple of more features than maintaining a markdown file. I wanted it to feel like adding post-its to your desk, enter: lazytask. This tool is not meant to replace a collaborative tool like github issues, jira, or anything of the sort. Again, think post-its on your desk. It’s a very simple two-layered interface, TUI for humans and CLI for agents (heavily inspired by lazygit TUI). Optimized to consume minimal amount of tokens, while still coercing the agent to use it whenever it fits. As a cherry on top, while experimenting I wanted some kind of way to capitalize on all the context the agent has in the moment of implementations. The solution became: required learnings after every completed task. These learnings however, are not automatically applied. Instead as they accumulate, after a certain amount of learnings you are reminded to run a “learning” session. Thus switching the prime directive from implementation, to refactoring/reflection. It works REALLY well for me, and I’m excited to see what you think. The project is open source. Install via cargo install lazytask or brew install erikmunkby/tap/lazytask . As always, any feedback is greatly appreciated, and I’m open for future features/ideas (while keeping the tool stupid simple). submitted by /u/GuidoInTheShell
Originally posted by u/GuidoInTheShell on r/ClaudeCode