Endless Toil is building the emotional observability layer for AI-assisted software development.
As engineering teams adopt coding agents, the next challenge is understanding not just what agents produce, but how the codebase feels to work inside. Endless Toil gives developers a real-time signal for complexity, maintainability, and architectural strain by translating code quality into escalating human audio feedback.
We are currently preparing our pre-seed round and speaking with early-stage investors who are excited about developer tools, agentic engineering workflows, and the future of AI-native software teams.
If you are investing in the next generation of software infrastructure, we would love to talk.
Even just having a hum while an agent is working could alert you when it get stuck.
Or taking your idea further being able to listen to the rate of tokens, or code changes, or thinking.
Sort of like hearing the machinery work, and hearing the differences in different parts of the code base.
Does python sound different than rust or c++ or typescript.
Or some kind of satisfying sounds for code deletions and others for additions. Like Tetris.
Audible feedback is nice. You often get it through coil whine nowadays, on my cheap hardware at least.
Next innovation in this space should be the robotic arm that issues a dope-slap to the developer for writing crappy/buggy/insecure code.
But it'll happen. ChatGPT for sure.
https://www.osnews.com/story/19266/wtfsm/
I would really love to know if the groaning decreases or increases the more "agentic" (agent written) the code base is?
I've had it running for a long time and it's more surprising to me to accidentally here the default ding when I'm away from my home machine.
So it is left up to agent to decide.
So looks like it's mainly looking for FIXME/TODO etc comments, deep nesting, large files, broad catches, stuff like that.
You should really try these tools out with an open mind. I know you won't take that last bit of advice, so this makes you not worth my time. But I can tell you this - these tools make people productive in ways you aren't understanding.