BoldCreate by Syncfusion

Cloud coding agent for parallel pull requests

Keep approved backlog tasks running after you log off

Your ready-made AI team works on your existing codebase in the cloud, one sandbox per task, while your laptop is closed. Each task pauses when it needs a decision or reaches your next checkpoint. It comes back as a pull request with tests, review findings, and task cost, inside the budget you set.

Runs with the lid closedEvidence on every PRAuto matches the model to each step
Built by Syncfusion, serving 47,000+ organizations.25+ years of developer tools, now reimagined for the agent-first era.
47,000+Syncfusion customers
1,600+Syncfusion UI components
25+Years of Syncfusion developer tools
Syncfusion component licensing is separate.
A computer per task

A separate sandbox for each task

Describe your environment once: base image, setup script, secrets, MCP servers, and your team’s skills. Every task boots its own copy with its own branch and database, so parallel tasks don’t fight over a port or a migration.

1Your skills2MCP servers3Secrets4Branch + database5Base image + setup
Add skills and MCP servers as plugins
ENVIRONMENT · billing-envv14
Team skillspayments-standards, api-style
MCP serversjira, confluence, postgres-ro
SecretsSTRIPE_TEST_KEY, DB_URL
Branch + databaseown branch, own copy of the db
Base image + setupnode:20 · npm ci · seed.sh
Described once by Nina Kovač, Platform team
Running now5 of 12 sandboxes
PAY-412 Invoice PDFagent/pay-412-pdf:3001db_pay412for Priya Raman
PAY-398 Refund emailagent/pay-398-refund:3002db_pay398for Marcus Lee
PAY-405 Tax roundingagent/pay-405-tax:3003db_pay405for Aisha Khan
PAY-417 Webhook retryagent/pay-417-retry:3004db_pay417for Daniel Okafor
PAY-420 Audit exportagent/pay-420-audit:3005db_pay420for Sofia Martín
PAY-422 Currency fixagent/pay-422-fx:3006db_pay422for Leo Brandt
Invoice PDF export#1774Gathering evidence
Tests42 passed · 0 failed
Screenshots3 changed screens
AI review2 notes, both fixed
Live previewpr-1774.preview.app
Evidence on every PR

Review test results and findings with the code

Every pull request arrives with the available evidence: the tests that ran, an AI review against your standards, and the task cost. UI changes can also include screenshots of each changed screen and a live preview link. You review the result, not the process.

Auto model

Auto selects models for each task step

With Auto, each step of a task goes to the model that fits it. A fast, low-cost model reads files and runs tests, and a stronger one plans and reviews.

Illustrative example, not a quote
STEPAUTO PICKSCOST
Read the codeFast$0.03
Plan the changeStrong$0.14
Write the codeBalanced$0.11
Run the testsFast$0.02
Fix a failing testBalanced$0.05
Review the diffStrong$0.09
This task, on Auto$0.00
Illustrative costs for one task. You can still pin a model per team or per task.
Asks before it guesses

One task can pause while others continue

Guessing creates rework. When a decision belongs to you, only that task pauses. Answer from the web or the Desktop App, and it picks up where it stopped.

Automations

Let a schedule or a code event start the task

Automations start Cloud Agent tasks for you: every weekday morning, when a pull request opens or a check fails, or when your CI or monitoring tool calls a webhook. Start from one of 10 recipes, and every run comes back as a task your team can review.

See how automations work
Automations
Find critical bugsEvery day at 9:00 a.m.Waiting
Review a pull requestWhen a pull request opensWaiting
Respond to an alertWhen Datadog calls its URLWaiting

Frequently asked questions

What does the BoldCreate Cloud Agent do?
It runs your ready-made AI team in the cloud, one sandbox per task, and keeps approved tasks running after you log off. Each task comes back as a pull request with the available test results, review findings, and task cost, inside the budget you set. UI changes can also include screenshots and a live preview.
How do parallel tasks avoid conflicts?
Describe your environment once: base image, setup script, secrets, MCP servers, and your team’s skills. Every task boots its own copy with its own branch and database, so parallel tasks don’t fight over a port or a migration.
What do I need to start using the Cloud Agent?
Connect a repository, describe the environment once, and set a budget. Then start with one task, approve its spec, and review the pull request it opens.
What happens when the Cloud Agent needs a decision from me?
Only that task pauses, and the others keep going. Answer from the web or the Desktop App, and it picks up where it stopped.
How does Auto choose a model for each step?
With Auto, each step goes to the model that fits it: a fast, low-cost model to read files and run tests, a stronger one to plan and review. Each task’s receipt shows what it cost, and you can still pin a model per team or per task.
Which Git hosts does BoldCreate work with?
BoldCreate works with repositories hosted on GitHub, GitLab, and Gitea.

Start one cloud task in your repository

Connect a repository, describe the environment once, and set a budget. Approve the spec, log off, and review the pull request when it is ready.

$199 a month for 20 seats · AI and sandboxes at provider cost + 10% platform fee