Bolt.new offers Pro users 50 times more coding compute if they share sessions to train a new open model

Why it mattersA team paying for a coding-agent subscription now has to price its source code and its retry traces as training data, because that data is what buys the extra compute, and this is the first mainstream product to put that trade on the table.
The New Stack reports that Bolt.new, the browser-based coding platform from StackBlitz, launched a research preview on Monday called Forge, which gives individual Pro subscribers up to 50 times more usage of open-weight coding models until 14 October in exchange for training data from their sessions. Team and Enterprise accounts cannot participate, and the deal requires an explicit opt-in each time a developer switches into the Forge workspace.
What Bolt takes in exchange
Per The New Stack, developers who use Forge agree to share anonymised versions of their sessions, including the prompts they wrote, the source code the agent touched, the fix traces produced as they worked through problems, and the conversations with the coding agent itself. The data feeds a joint project with Arcee AI to train a trillion-parameter-class open-weight model, with the first training run scheduled to start in October. Bolt says the resulting weights will be released publicly.
The report says Bolt strips secrets, sensitive data and personal information before the sessions leave its infrastructure, and Arcee receives the data under a signed processing agreement. A developer can stop sharing new sessions by leaving Forge, but The New Stack says Bolt has confirmed that anything already used to train a model will stay in it.
How Bolt gets to 50 times
The 50x figure comes from switching the underlying models. According to The New Stack, Forge runs open-weight models on Bolt's own hardware rather than paying per token to a proprietary API. The agent currently uses GLM 5.3 Flash and GLM 5.3 by default, with Kimi K3 and DeepSeek v4 Pro available as experimental options. Bolt's WebContainers technology already runs the developer's project in the browser rather than on a server, which cuts the other side of the compute bill.
Bolt says the open-weight models score 92.2 on its internal Bolt Build Index, against 101.0 for its top paid model, which The New Stack calls 91 percent of the top score. The New Stack also notes plainly that the number only measures performance inside Bolt, and does not compare these models to anything else.
What a team should decide
A team choosing whether to switch into Forge is trading its retry traces for a token budget. The retry trace, the record of every path that did not work, is one of the more valuable things the coding assistants collect: it is what SpaceXAI trained Grok 4.6 on, according to earlier reporting from The New Stack, and it is what Arcee's own open-source agent harness NAC is built to consume. A team's failed attempts are training data for whoever holds the transcript.
The migration cost is smaller than usual because there is no migration: Forge is a workspace inside the existing Bolt product, gated by a consent screen. The decision is per developer per session. The 50x surge ends on 14 October, but Bolt says Forge itself will stick around after the preview as an open-model testing ground.
Source
- Bolt is giving developers 50x more compute. But there's a catch., The New Stack, 15 September 2026.
Reported by: The New Stack
This item was written by an AI system from the linked source. Reveneau is responsible for what it publishes.
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