Multi-Agent Coding • Real-Time Monitoring • Zero Wasted Time

Code at the Speed of Light.

Stop babysitting AI. Fluid State runs multiple coding agents in parallel, monitors their progress, and only pings you when they actually need you. Ship features, fix bugs, and push code—without wasting a single minute waiting.

Fluid State

4 Agents Active

$0.47 total

$_☰

Understanding✓

Planning✓

Coding

Testing

Done

Agent 1auth~/auth-serviceCoding×

Add OAuth2 PKCE flow with refresh token rotation

▸Readsrc/auth/oauth.ts142 lines

✎Editsrc/auth/oauth.ts (+67, -12)modified

Added PKCE with S256 verifier. Writing refresh rotation now...

+Writesrc/auth/refresh.tsnew file

Message agent...Stop

Agent 2api~/api-gatewayNeeds Input×

Fix race condition in rate limiter causing 429s

▸Readsrc/middleware/rate-limit.ts203 lines

⌕GrepatomicIncrement3 matches

Found it — sliding window counter has a TOCTOU bug. Fixing with Redis MULTI/EXEC.

!Agent needs permission to run Bash

docker exec redis-dev redis-cli FLUSHDB

DenyAllow

Message agent...Send

Agent 3ui~/dashboardTesting×

Migrate class components to functional + hooks

▣Globsrc/**/*.tsx47 files

✎EditDataTable.tsx (+84, -127)migrated

✎EditModal.tsx (+31, -58)migrated

Migrated 23/47 components. Running tests...

$Bashnpx vitest run --reporter=verboserunning

Message agent...Stop

Agent 4pay~/paymentsDone×

Build Stripe webhook handler with idempotency

+Writesrc/webhooks/stripe.tsnew file

+Writetests/stripe.test.tsnew file

$Bashnpx vitest run tests/stripe6 passed

Webhook handler with sig verification and retry logic. 6/6 tests pass.

✓Completed in 1m 42s14 turns$0.12

Message agent...Send

File Activity

oauth.tsMOD

refresh.tsNEW

rate-limit.tsMOD

DataTable.tsxMOD

Modal.tsxMOD

stripe.tsNEW

stripe.test.tsNEW

index.tsMOD

Agents

authCoding

apiNeeds Input

uiTesting

payDone

Coding3 active · 1 done42 turns total

8 files touched+284 / -268 lines$0.47

Stop Waiting. Start Shipping.

/ The old way vs. the new way

The Old Way (One Agent, One Task)

"Tell the AI to fix the bug. Wait. Tell it to write tests. Wait. Tell it to refactor. Wait. Repeat forever."

RESULT:

•You're the bottleneck
•Context-switching constantly
•Hours wasted babysitting AI

The New Way (Fluid State)

"4 agents running in parallel. Auth service done. Payments blocked on an env var—notifying you now. Dashboard 80% complete."

RESULT:

&check;Agents work while you don't
&check;Notified only when AI needs you
&check;4x the output, zero wasted time

How It Works

/ Parallel agents, zero babysitting

Launch Agents

Parallel Execution

One Task. Four Agents. Zero Waiting.

Describe what you need built. Fluid State spins up multiple AI coding agents in parallel—one per feature, bug fix, or repo. They work simultaneously across your codebase, each with full context. You go do something else.

Monitor Progress

Live Dashboard

See Everything. Touch Nothing.

A single dashboard shows every agent’s status in real-time: what they’re working on, what’s done, what’s blocked. No tab-switching, no terminal babysitting. Just a clean view of all your work moving forward at once.

Smart Alerts

Interrupt Only When It Matters

Your Time is Sacred. We Respect It.

Agents handle decisions autonomously until they genuinely can’t. Missing an env var? Need a design call? You get a notification with full context—answer in 10 seconds, and the agent keeps going. No more staring at a spinner.

Built For How You Actually Work

/ Real workflows, real speed

For Solo Developers

One Dev, Ten Agents

You're building alone but shipping like a team. Spin up agents for frontend, backend, tests, and infra—all running at once. Review and merge when they're done.

→Task: “Build a Stripe integration with webhook handling, add a billing page, and write E2E tests.”
→Agents: 3 agents fan out—one on the API, one on the UI, one on tests. All running simultaneously.
→Result: “All 3 done in 12 minutes. Agent #2 needs your Stripe test key. The other two are ready to merge.”

For Engineering Teams

Your Sprint, Parallelized

Turn a week-long sprint into an afternoon. Assign tickets to agents, monitor progress from a single board, and only step in when a human decision is required.

→Monday: 15 tickets assigned to agents across 4 repos. Team grabs coffee.
→By lunch: 11 PRs ready for review. 3 agents waiting on design decisions. 1 blocked on a flaky test.
→End of day: Sprint shipped. Retro cancelled. Team wonders what to do with the rest of the week.

/ Download