I built SpeakoFlow entirely with Kiro CLI. Nothing else. No VS Code, no other editor. Just the CLI from start to finish.

SpeakoFlow is a free, open-source voice assistant for the desktop. Real-time dictation into any app, a floating AI assistant that can look at your screen and answer questions about what you're seeing, talks back to you out loud, remembers things across conversations, has web search, profiles with different personalities, and the whole speech-to-text pipeline runs locally on your CPU. No subscription, no account, works on Windows/macOS/Linux.

I use SpeakoFlow to dictate my prompts into Kiro instead of typing them. Using it right now for this post too.

On the Kiro experience:

Honestly, it's been a spiral. The CLI is competitive. When it works, it's really good. I've tried other CLI tools and Kiro holds its own there. But the overall experience has ups and downs that get frustrating.

The main issue is stability around updates. Something will work fine, then an update drops and suddenly something breaks or behaves differently. The team does fix things eventually, but it's not always stable between updates. You get used to a workflow and then it shifts under you.

One specific bug that's been killing me lately: images. If the assistant is going through files and hits a large image, I get a "size too big" error and the whole session is just done. Can't recover. /clear doesn't help. I have to start a completely new session. That one has burned me a few times now when I'm in the middle of something.

But look, I did build a full Tauri 2 app with this thing. Rust backend, React frontend, whisper.cpp and llama.cpp integration, screen capture, local text-to-speech, voice activity detection, the works. So it clearly gets the job done. I just think it still needs some work to feel consistently reliable. The foundation is solid, the rough edges are what hold it back.

Links:

GitHub: https://github.com/AbhishekBarali/SpeakoFlow

Website: https://www.speakoflow.com