AI assistant for developers

MiyoMind gives developers a single conversation that handles the work that pulls you out of flow: pasting a confusing error and getting it explained, talking through a bug out loud, drafting a README or a commit message, looking up how a library actually behaves with real citations, and remembering the context of your project between sessions. You reach it from your phone or browser, so it is there during a commute, a standup, or a 2am incident — not just when you are sitting at your editor.

What can it actually do for developers?

MiyoMind is strongest at the conversational and connective parts of development — the things that happen around your code rather than the keystrokes inside it. Concretely, developers use it to:

• Rubber-duck debug — explain a problem in plain language and let Miyo ask clarifying questions until the cause surfaces.
• Decode errors and stack traces — paste the output and get a readable explanation plus likely fixes to try.
• Draft and polish docs — READMEs, inline comments, ADRs, changelogs, commit messages and PR descriptions.
• Search live documentation and the web with citations, so you can check whether an answer is current rather than trusting a stale memory.
• Read and analyse files — drop in a log dump, a config, a spec PDF or an API schema and ask questions about it.
• Post quick GitHub or Linear updates via connectors, and remember a recurring standup reminder that fires in your chat app.
• Recall past conversations — pick up a thread about a design decision you discussed last week.

Under the hood, MiyoMind runs the open-source OpenClaw agent runtime plus a model router called Hermes and our own orchestration, memory, billing and safety code. It routes to frontier models from OpenAI, Anthropic, Google, xAI and Alibaba depending on the task — so reasoning-heavy debugging and quick lookups can use different models without you choosing one.

How does rubber-duck debugging work in chat?

Rubber-duck debugging means explaining your problem step by step until the flaw becomes obvious. MiyoMind makes the duck talk back: it asks where the value comes from, what you expected versus what happened, and what you have already ruled out. Here are example messages a developer types and what Miyo does in response:

You: My Node fetch returns 200 but the JSON body is empty. Here's the
     handler... [pastes code]
Miyo: Walks through the handler, notices the response is consumed twice,
      and suggests reading the body once into a variable. Asks if a
      middleware reads the stream upstream.

You: TypeError: Cannot read properties of undefined (reading 'map').
     Here's the stack trace... [pastes trace]
Miyo: Explains the trace line by line, points to the array that is
      undefined at render time, and lists three guards to add.

You: Explain this regex and tell me why it doesn't match leading zeros:
     ^[1-9][0-9]*$
Miyo: Breaks the pattern down token by token and explains the anchor and
      character-class behaviour.

You: Draft a clear commit message for: refactored auth to use refresh
     tokens, fixed a race in the session cache.
Miyo: Returns a conventional-commit subject plus a short body.

You: Read this 12-page API spec PDF and tell me which endpoints need
     pagination. [attaches PDF]
Miyo: Summarises the spec and lists the paginated endpoints with the
      query params each one uses.

Because the conversation lives in your chat app, you can do this from your phone while away from the keyboard — describe the bug on a walk, get a hypothesis, and have a fix to try when you sit down.

A realistic day with MiyoMind

1. 8:55am — A recurring reminder Miyo set fires in Telegram: 'Standup in 5, what shipped yesterday?' You reply with bullets and ask Miyo to tidy them into three lines.
2. 10:30am — A failing test blocks the build. You paste the assertion error; Miyo explains the off-by-one in the date boundary and suggests the timezone fix.
3. 1:00pm — You need to know whether a dependency's new major version changed a default. Miyo searches the docs and changelog and answers with citations you can click.
4. 3:00pm — PR time. You ask Miyo to draft the description from your commit list and a short 'why' you dictate as a voice note; it transcribes and writes it.
5. 5:30pm — You jot a Linear note and ask Miyo to remember that the caching refactor is parked until the API team responds, so next week's you has the context.

Is it safe to share code and errors with it?

Every paid user gets a dedicated, sandboxed Docker container with an isolated workspace, no public internet egress, a read-only root filesystem, dropped Linux capabilities, and zero stored external API keys. Connected integrations and long-term memories are encrypted at rest with AES-256-GCM, and a 10-layer prompt-injection defence plus output scrubbing runs on every message. The free tier runs on a shared direct-agent path without a dedicated container. Connectors use secure OAuth, so MiyoMind acts with the access you grant and nothing more.

How much does it cost?

MiyoMind is credit-based: credits meter actual model and tool usage, so a quick error explanation costs far less than a long debugging session that searches docs and reads files.

Credits are also sold as top-up packs (600 for $3, 2,000 for $10, 5,000 for $25, 10,000 for $50), where 1 credit is worth roughly $0.005 of value. There is no card required to start on Free, and nothing extra to install for chat — you use MiyoMind inside WhatsApp, Telegram, Discord, or the web dashboard at miyomind.com.