ProblemHow it worksIn motionContextIntegrationsFAQ
Context in. PR out.

Plan-aware PRs with context-complete pretests.

Motionode attaches video, chat, and wireframes to each task — then generates code and verifies it against that context before QA wastes a cycle.

Motionode — PR Composer
Task Context
00:00
04:32
📌 00:32 — "Checkout: always show error states before success"
F
Checkout Flow v3.1 · 8 screens
Artifacts Extracted
Acceptance criteria Edge cases API contract UI states
Implement Checkout — Payment intents + UI states
+247−186 files changed
src/checkout/PaymentForm.tsx
14 const [status, setStatus] = useState('idle');
15 const [error, setError] = useState(null);
16 const intent = usePaymentIntent(cart);
17
18 if (status === 'error') return <ErrorState msg={error} />;
19 if (status === 'loading') return <Skeleton />;
20 // TODO: handle payment states
Context coverage:
92%

Try it free

Paste your scope (PRD / RFP / SOW)

No email or real data required. Rough is fine, 150+ chars.

Start with demo

Works with your repo. No migration required.

AI makes code faster. It also makes teams miss context faster.

Slack #eng · @a████n · 1d ago
"We shipped the wrong thing because the requirement was in a call nobody documented."
🧵 24 replies
r/webdev · u/c████r · 3d ago
"Figma link + Slack thread + Loom + Jira… context is scattered across 4 tools."
↑ 61289 comments
HN · dev████ · 5h ago
"PR looks fine, but it doesn't match the agreed UX edge cases."
▲ 18743 comments
X · @s████a · 6h ago
"Most bugs are context bugs."
♡ 2.3K124 replies

Public quotes (replace placeholders).

Design → Context → PR → Pretests

1

Design handoff

Figma link + key screens

2

Context capture per task

Video + wireframe + chat

3

Plan-aware PR

Diff, scaffolding, wiring

4

Context-complete pretests

Checks implementation vs what was agreed

HOW IT WORKS — IN MOTION

Designer → Dev handoff

Designer pastes a Figma link. Motionode detects screens, extracts UI states, and generates acceptance criteria — all attached to the task.

No more "where's the design?"

Task: Checkout Flow
Checkout Flow — Payment + Confirmation
Paste Figma link…
✓ Screens detected: 8
UI States:
loading error success empty cart
Acceptance criteria extracted:
• Show error states before success path
• Handle empty cart redirect
• Payment retry on 402
Task Context
● RECORDING 00:32 / 04:32
📌 00:32 — "Always show error states before success"
📌 02:14 — "Refund flow: redirect to order page"
📌 03:48 — "Edge case: expired promo code during checkout"
Context completeness: 3/3 sources ✓

Context is attached to the task

Video decisions, wireframe annotations, and chat threads live inside the task — not scattered across Slack, Notion, and email.

Context is not in Slack/Jira/Notion. It's inside the task.

Generate plan-aware code

Click "Generate PR" and Motionode produces structured output: routes, API clients, UI components with correct states, and a test skeleton — all wired to the task's acceptance criteria.

Not magic. Structured output.

Terminal — PR Generation
Generating scaffolding…
Applying API contract from task context…
✓ 6 files generated (route, client, 3 components, test)
src/checkout/PaymentForm.tsx
+ export function PaymentForm({ cart }: Props) {
+ const intent = usePaymentIntent(cart);
+ if (!cart.items.length) return <EmptyCart />;
src/api/payments.ts
+ export async function createIntent(cartId: string) {
+ return api.post('/payments/intents', { cartId });
GitHub GitHub / GitLab
feat: checkout — payment intents + UI states Open
Checklist (from acceptance criteria):
  • Error states before success path
  • Empty cart redirect
  • Payment retry on 402
  • Expired promo code handling
Attached Context
🎥 Dyte clip: Checkout decisions @ 00:32
✏️ Excalidraw: Payment flow wireframe
💬 Chat: Final refund decision (pinned)
🎨 Figma: Checkout Flow v3.1

PR is created with full context

The PR includes a checklist auto-populated from acceptance criteria, plus a context panel linking the Dyte clip, Excalidraw wireframe, chat thread, and Figma file. Reviewers see everything without hunting.

Context-complete pretests

This is not unit testing. It checks whether the PR matches what the team agreed — UI states coverage, error paths, API contracts, and edge cases from the task context.

Does the PR match what the team agreed?

Context Pretest Runner
UI states coverage4/4 states implemented
Error paths implemented402, network, validation
!Missing edge case: Refund flow not handledReferenced from Dyte @ 02:14
API contract matchesPOST /payments/intents
!Expired promo code not testedReferenced from Excalidraw node "Promo validation"
→ src/checkout/PaymentForm.tsx:42
// Missing: refund redirect (see Dyte @ 02:14)
Delivery Loop Comparison
Traditional
1 PR submitted
2 QA finds mismatches
3 Bug filed ↺ LOOP
4 Meeting to clarify context
5 Rework PR ↺ LOOP
6 QA passes (finally)
~8 days
Motionode
1 Context captured in task
2 Plan-aware PR generated
3 Context pretests pass
4 QA passes first time
~3 days

Less rework. Fewer loops.

Traditional flow: PR → QA → bug → meeting → rework → QA. With Motionode: context → PR → pretests → QA passes. Fewer loops, faster ship.

Context isn't a doc. It's a system.

Decisions captured, not forgotten.

Call timeline with decision markers. Pin clips to tasks.

Dyte
📌 3 decisions pinned to task

The thread lives with the work.

Task-scoped chat. Final answer pinned.

S Should we redirect on empty cart?
M Yes — redirect to /shop with toast.
📌 Pinned as final answer

Wireframes are part of execution.

Mini canvas with annotated states linked to acceptance criteria.

Excalidraw
Cart
Pay
Done

Motionode uses Dyte for video and Excalidraw for whiteboarding, embedded per task.

Works with the tools dev teams already trust.

GitHub
GitLab
Figma
BYO Key
BYO Key
Jira
Linear
Asana

Try it on one project.

No migration required.

FAQ

Is this just code generation?
No — the value is context completeness and verification against that context. The PR is generated from task structure + acceptance criteria + constraints, not a raw prompt.
Do I need to move my team into Motionode?
No — start by generating PRs against your existing repo. Motionode works alongside your current workflow.
What does "plan-aware" mean?
The PR is generated from task structure + acceptance criteria + constraints, not a raw prompt. It respects what the team approved.
Does it work for existing codebases?
Yes — the PR is produced against your repo and reviewed like normal. No greenfield requirement.
Where does context come from?
Dyte video clips, Motionode chat, Excalidraw wireframes, plus design links per task. All attached to the task, not scattered across tools.

Give your PR a memory.

Generate a plan-aware PR with context-complete pretests — so QA isn't the first place missing context is discovered.

No migration required.