Noob
Small fixes.
Light experiments.
Enough to feel Dragon wake up.
[ Dragon Code ]
A terminal agent built on trillion-parameter models with a real 10M-token addressable context. It reads your whole repo, edits real files, and cites every change to file:line.
No five-hour windows. No rolling lockouts.
Work until you're done.
[ Get started ]
Copy this, paste it into your terminal, and press Enter. On Windows, use the PowerShell command from the install guide.
curl -fsSL https://raw.githubusercontent.com/VELLORAAI/dragoncode-public-dist/main/install | bash[ Example session ]
$ dragon
Indexed 4,812 files · 10M tokens addressable
> the checkout webhook double-charges customers sometimes. why?
Reading api/webhooks/checkout.ts:118-164
Reading lib/queue/consumer.ts:42-90
checkout.ts:142 processes the event before consumer.ts:77 writes the idempotency key. Two webhooks landing ~40ms apart both pass the check.
Moving the idempotency write before processing.
✓ api/webhooks/checkout.ts:142 edited
✓ tests/webhooks/checkout.test.ts added
✓ 12/12 tests passing
[ Dragon Code ]
Install the dragoncommand, paste your key, go. It indexes your repo once, then keeps the right code loaded as you work, so every answer is grounded in what's actually there, not a guess.
Every claim cited to file:line, or it says it isn't sure.
Real code search, not blind grep.
Remembers your project across sessions. Reads your AGENTS.md / CLAUDE.md.
Same setup in any repo. Paste a key and go.
macOS, Linux, and Windows.
[ Dragon ]
Trillion-parameter open-weight models, tuned for code. Frontier capability without the frontier lab's price or its limits. Default to the Dragon lane, drop to /tiny for cheap work, step up to /large, or hit /max for the hard problems.
Trillion-parameter open models, tuned for code.
Frontier capability on the default lane. /tiny, /large, or /max to switch.
No mid-session downgrades to a cheaper model.
A fraction of proprietary cost, at full capability.
Prefer raw inference? Same models, drop-in API →
[ Advisor ]
Advisor runs automatically. The fast model keeps driving your session, and when it hits a call worth getting right, it hands that one question to a flagship frontier model, takes the answer, and keeps building. You pay frontier rates for that single call, not your whole session.
Everyday work
The fast model drives your session.
Hard call
It asks a flagship frontier model, one question.
Back to work
Takes the answer, keeps building.
[ Privacy ]
Dragon Code indexes your repo so retrieval works. That's the only reason it uploads anything.
Your index is owner-scoped. Only your key can read it.
Secret files like .env, keys, and credentials are filtered out automatically, before upload and again on our end.
Turn indexing off anytime, or delete your index whenever you want.
Not "trust us."
We never train on your code.
[ Pricing ]
Monthly Dragon token pools that scale with how much you actually build.
No surprise bills. Run past your pool, top up with credits anytime.
No lock-in. Cancel or change plans before your next renewal.
Small fixes.
Light experiments.
Enough to feel Dragon wake up.
Daily edits.
Small features.
Bug fixes.
Actual usage without instantly watching the meter.
Big refactors.
Agent runs.
Longer sessions.
Enough runway to stay in motion.
Deep sessions.
Large repos.
High-stakes builds.
The plan for people who use AI coding like oxygen.
Maximum runway.
Maximum throughput.
Deep, all-day agent runs across large codebases.
For teams and heavy builders who live in the terminal.
FAQ
[ Get started ]
The same gateway has run Dragon Code and our own workloads in production for months. Grab a key, install the dragon command, start building.