01
Multi-model coding
Use OpenAI, Anthropic, Google, xAI, and open-weight models where available.
Switch per task.
AI chat for coding
AI chat for coding across models and tasks.
Debug, refactor, review, and design systems with the model that fits—attach repos or specs, increase reasoning depth, and branch ideas without losing context. Full workspace access requires a Pro or Lifetime plan.
Pro from $14.99/month · Lifetime $149.99 one-time
View live demo- 01Reasoning controls
- 02File context
- 03Conversation branching
Workspace preview
This handler returns 500 only in production—compare my snippet with the logs and suggest a fix.
Claude 5 Sonnet
I traced the failure to environment-specific assumptions:
- 01Missing env var in production build
- 02Suggested guard and logging
- 03Branch with an alternative error-handling pattern
Ask anything
SearchLow
Developers need flexibility
One coding model rarely fits every task.
Architecture questions, tight debugging, and quick scripts benefit from different strengths—and from keeping context in one place.
- 01
Wrong model for the job
Fast models for deep design reviews; heavy models for tiny syntax fixes.
- 02
Context fragmentation
Pasting the same files into new chats burns time and loses history.
- 03
Shallow fixes
Patches that compile but miss edge cases show up under load.
Developer workflow
Tools that match how you ship code.
From spike to review without switching apps.
02
Deep reasoning
Increase effort for architecture, concurrency, or subtle bugs.
When surface answers are not enough.
03
Specs & snippets
Attach requirements, logs, or PDF docs for richer context.
Keep sources attached.
04
Live search
Pull current library docs or release notes into the thread.
For fast-moving APIs.
05
Branch solutions
Explore two implementations from the same starting point.
Compare trade-offs explicitly.
06
Voice for spikes
Talk through a design when typing slows you down.
On supported plans.
Ship loop
Understand, implement, verify.
One conversation can carry from error to fix to follow-up test ideas.
- 01
Provide context
Paste code, attach logs, or describe the system constraints.
- 02
Choose depth
Use higher reasoning for design; faster models for small edits.
- 03
Branch & review
Fork alternative approaches and ask for test cases or risks.
Scenarios
Common coding tasks.
01
Production debugging
“Why does this pass locally but fail in CI?”
Attach log excerptDeep reasoningBranch fix options
OutcomeRoot cause hypothesis with concrete patch suggestions.
02
API design review
“Critique this REST shape for versioning and errors.”
Attach OpenAPI PDFReasoning modelLive search for patterns
OutcomeStructured review with industry references.
03
Learning a codebase
“Map the auth flow from this README and diagram it.”
Attach docsNormal chatBranch alternate reading order
OutcomeNarrative walkthrough you can validate in the repo.
FAQ
Developer questions
Can milkyway.chat access my private repository automatically?
No. You provide context by pasting code or attaching files you choose to upload. We do not connect to Git hosts by default.
Should I paste proprietary code?
Follow your employer's policies. You control what you submit. See our Privacy Policy for how data is processed.
Which model is best for coding?
It depends on the task. Try reasoning-capable models for architecture and debugging; faster models for small edits.
Does Ultra Mode help with architecture reviews?
Yes. Ultra runs parallel agent perspectives before synthesis—useful for design critiques and production incident analysis on Pro.
How much does milkyway.chat cost?
Pro is $14.99 per month and includes all premium models plus voice chat. Lifetime is $149.99 as a one-time payment and lets you bring your own API keys. Visit the pricing page for current plan details.
Can I try the workspace before subscribing?
Yes. You can explore the interactive math visualization example without a subscription. After signing in, you can browse the workspace interface, but sending messages requires an active Pro or Lifetime plan.
Ready to get started
Code with the right model in one workspace.
Pick Pro or Lifetime on the pricing page, then start with the model and tools your task needs.