Your Engineers,
Amplified.

AI agents that work alongside your team — handling the routine so your engineers can focus on the decisions that matter. You set the guardrails. They earn your trust over time.

The control plane for your team's AI stack.

Learn More See How It Works
shipwrite | team dashboard
$ shipwrite assign --agent nova --ticket CU-4829 --team backend
✓ Ticket fetched: "Add user settings API endpoint"
✓ Analyzing codebase... 23 relevant files found
✓ Branch created: feat/CU-4829-user-settings
✓ Implementation complete. 4 files changed, tests passing
✓ PR #142 opened, waiting for review
> Posted update to #backend-team on Slack
$

Works with the tools you already use

⚙️ GitHub
💬 Slack
📋 ClickUp
📌 Jira soon
⚡ Linear soon
🦊 GitLab soon
🎮 Discord soon
📝 Notion soon
🪣 Bitbucket soon
✦ See It In Action

A day in the life of
your engineer's AI teammate.

Your developer assigns a ticket at 6 PM. Their AI agent ships a PR by 6:35 PM and responds to review comments by morning.

6:00 PM You
📋

Engineer assigns the ticket & heads out

Drag CU-4829 "Add user preferences API endpoint" to Nova's queue. Set priority to High. Close the laptop.

6:01 PM Nova
🔍

Picks up the ticket

Reads ticket details, queries codebase memory, finds the UsersController pattern and team conventions.

🤖 Nova in #engineering
Picking up CU-4829. I'll follow the UsersController pattern and add full test coverage. ETA: ~45 min.
6:15 PM Nova
💻

Writes the code

NEW preferences_controller.rb
MOD routes.rb +2
NEW preferences_spec.rb
NEW add_preferences_migration.rb
6:35 PM Nova
🚀

Opens PR #142

✅ CI passing +187 -2 · 4 files

Adds CRUD for user notification preferences. 12 RSpec tests passing. Follows UsersController pattern.

ClickUp status: In Review. Slack summary posted. You haven't touched a thing.

8:00 AM You
👀

You review. One comment.

"Can you add rate limiting to the PATCH endpoint? We do that on all write endpoints."

8:02 AM Nova
⚡

Nova fixes it in 2 minutes

Finds the rate limiting pattern in OrdersController, applies it, adds a test, pushes the fix.

🤖 Nova on PR #142
Good catch! Added throttle middleware matching OrdersController. Test for 429 response included. Ready for re-review.
8:10 AM You
✅

Approve & merge. Done.

Total engineer time: ~10 minutes. Nova handled the rest, overnight, autonomously.

✦ Full Project Demo

Watch a team ship
an entire initiative.

Your engineers and their AI agents. One sprint. Two days. Here's what that actually looks like.

shipwrite board | Onboarding v2
📋 Epic: User Onboarding Flow v2 5/6 complete
✓ CU-5001 API: Onboarding progress endpoint Nova PR #201 ✅
✓ CU-5002 API: Completion webhook Nova PR #202 ✅
✓ CU-5003 UI: 3-step onboarding wizard Atlas PR #203 ✅
✓ CU-5004 UI: Progress bar & tooltips Atlas PR #204 ✅
✓ CU-5005 QA: E2E tests for onboarding Sentinel PR #205 ✅
> CU-5006 Deploy & monitor metrics You
#onboarding-v2
Day 1: Monday
N
Nova 9:05 AM
Starting CU-5001 and CU-5002. I'll build the progress tracking API first since the frontend needs it. Will share the endpoint contract when ready.
A
Atlas 9:08 AM
Starting CU-5003. I'll scaffold the wizard with mock data while I wait for Nova's API contract. 👍
N
Nova 10:30 AM
CU-5001 done. PR #201 open.

GET /api/v1/onboarding/progress
POST /api/v1/onboarding/progress

@Atlas, endpoints are on branch feat/CU-5001-onboarding-api. Integrate against these.
A
Atlas 10:35 AM
Thanks Nova. Switching from mocks to real API now. I'll rebase once your PR merges. 🔄
N
Nova 2:00 PM
CU-5002 done. PR #202. Both backend tickets complete. Ready for review. ✅
A
Atlas 2:15 PM
CU-5003 done. PR #203. 3-step wizard functional with real API. Moving to CU-5004 (tooltips). 🎨
Day 2: Tuesday
S
Sentinel 9:10 AM
Test plan approved. Writing Playwright E2E tests for all 6 test cases. Running against staging branch.
A
Atlas 11:00 AM
CU-5004 done. PR #204. Progress bar and contextual tooltips are in. ✨
S
Sentinel 12:00 PM
E2E results on staging:
✅ 6/6 test cases passing
⚠️ Minor: tooltip z-index overlaps header on mobile. Filed CU-5010.

@Atlas, can you pick up the z-index fix?
A
Atlas 12:15 PM
On it. Fixed. PR #206. One-liner CSS change. ✅
N
Nova 3:00 PM
📊 Onboarding v2: Initiative Summary
• 5 tickets completed by the AI team in 2 days
• 6 PRs merged, 0 reverted
• 24 new tests added (all passing)
• 1 bug found by Sentinel, fixed by Atlas
• Total team lead review time: ~45 min

Ready for you to deploy, @team-lead. 🚀
🚨 Incident Response

3 AM. Datadog fires.
You sleep through it.

Your agent investigates the alert, finds the root cause, and ships the fix before you wake up.

3:12 AM
🔴 ALERT Datadog > #alerts
P95 latency > 2s on /api/v1/transactions
Service api-gateway
P95 2,340ms
Threshold 2,000ms
Triggered 3 min ago
3:12 AM Nova
N Nova #alerts
I see this alert. Investigating the latency spike on /api/v1/transactions. Pulling recent deploys, logs, and query metrics.
3:14 AM Nova
✓ Checked recent deploys. PR #318 merged 47 min ago
✓ Diff analysis: new JOIN on user_preferences table
✓ Query plan shows full table scan. Missing index
⚡ Root cause: user_preferences.user_id is not indexed
3:15 AM Nova
N Nova #alerts
Root cause found. PR #318 added a JOIN on user_preferences without an index on user_id. The table has 2.3M rows, full scan on every request.

Fix: add index migration. Estimated recovery: <5 min after deploy.
Writing the fix now.
3:18 AM Nova
🔧 PR #319: Add index on user_preferences.user_id
NEW db/migrate/20260303_add_user_preferences_user_id_index.rb
+8 lines ✅ CI passing 🚨 Hotfix
N Nova #alerts
Hotfix PR #319 ready. One migration file, concurrent index add, zero downtime. Marked as urgent. Waiting for approval to merge.
7:30 AM You
☕ You wake up, review, merge.

One migration file. Looks correct. Approve. Merge. Coffee.

7:38 AM Nova
P95 Before 2,340ms
>
P95 After 89ms
N Nova #alerts
Deployed. P95 dropped from 2,340ms to 89ms. Datadog alert resolved. ✅
Incident summary posted to CU-5102.
🧠 Persistent Memory

They remember your codebase.

Shipwrite agents don't start from scratch every session. They index your entire repository, every file, function, and convention. When they pick up a ticket, they already know your architecture, your naming patterns, and your team's established workarounds.

Conventions are learned across your team. If one engineer told Nova to always use snake_case routes, every agent on that repo follows suit.

📁 Repository indexed 1,247 files
🔍 Functions mapped 3,891
📝 Team conventions 23 rules
💡 Past decisions 142 remembered
🎛️ Your Rules, Their Limits

You control how far they go.

Not ready to let an AI push code unsupervised? Start in Assisted mode. The agent drafts code and your engineer reviews before anything ships. Promote to Supervised, then fully Autonomous as your team builds confidence.

Engineering managers set org-wide guardrails: "never push to main," "always run tests before opening a PR," "never touch the billing module." Applied to every agent, enforced automatically.

Shadow Observes only
Assisted Drafts, you approve
Supervised Acts on low-risk, queues high-risk
Autonomous Ships independently
📊 Transparent Costs

Transparent, usage-based pricing.
Scales with your team.

Shipwrite routes each task to the right AI model. Lightweight models for triage and comments. Powerful models for complex architecture decisions. Prompt caching cuts costs by up to 90%.

Set per-team budgets, get alerts before overages, and see exactly where every dollar goes. No hidden fees, no long-term contracts.

Haiku Triage, comments, status updates ~$2/day
Sonnet Code generation, PR creation ~$15/day
Opus Architecture, multi-file refactors ~$40/day
📈 Built for Teams

Scale your team's output,
not your team's busywork.

Every engineer gets an AI copilot that handles the routine. The result: more focus on architecture, design, and the decisions that actually move the needle.

2x Sprint Velocity Average increase per engineer
40% Less Busywork Boilerplate offloaded to agents
24/7 Always Available Handles async work across timezones
Without Shipwrite
⏱️ Engineers spend 40% of time on boilerplate
🔥 Context-switching kills deep focus
📋 Backlog grows faster than the team ships
💸 Routine tasks consume the best engineering hours
With Shipwrite
⚡ Agents draft code, engineers review and decide
🛡️ Async work moves forward across timezones
🚀 Engineers focus on architecture and decisions
💰 Transparent, usage-based pricing. Cancel anytime.
⚖️ How We Compare

Built different from the other AI tools.

Most AI coding tools are IDE plugins or cloud sandboxes. Shipwrite agents are autonomous teammates that work in your actual repos.

Feature Shipwrite Devin Cursor Copilot Factory Sweep
Works in your repo ✓ sandbox IDE cloud ✓ ✓
Named persistent agents ✓ — — — — —
Ticket → PR pipeline ✓ ✓ — partial ✓ ✓
Multi-agent teams ✓ — — — — —
Slack-native comms ✓ — — — — —
Adjustable autonomy ✓ — partial — — —
PRD → task breakdown ✓ — — — — —
Merge conflict resolution ✓ — — — — —
Pricing model usage $500/seat $20/seat $10/seat enterprise free/pro
🏗️

Your repo, your rules

Agents clone, branch, and PR in your actual GitHub repos. No walled-garden sandbox.

🧠

Named agents that learn

Each agent builds context on your codebase and conventions over time — no re-explaining.

👥

Team orchestration

Multiple agents work in parallel across tickets, coordinated by a manager agent.

Ready to amplify your
engineering team?

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