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GitStart

GitStart combines large language models and human developers to help engineering teams ship production-ready pull requests from ticket backlogs. The platform runs hybrid agents that absorb context from your codebase, scope work, implement changes, run QA, and submit merge-ready PRs. Teams assign tickets, monitor progress via daily updates, and give a final review before merging.

  • LLM-powered hybrid agents — Agents load repository context, ask clarifying questions, and generate scoped implementation work so teams can offload routine development tasks.
  • Autonomous pull request generation — Agents produce PRs with code changes, tests, and documentation updates; reviewers receive merge-ready submissions to approve or request changes.
  • AI Ticket Studio — Converts issues into well-scoped tickets using code context and team input, improving handoff and reducing back-and-forth.
  • Integrations — Works with Git providers and project tools so you can assign and merge tickets through existing workflows and view status updates in chat channels.
  • Automated QA and review checkpoints — Multiple automated quality checks and reviewer workflows run before PR submission to reduce manual rework.
  • Scoped access controls (GitSlice) — Fine-grained access ensures agents only view and modify the specific code required for a given ticket.

To get started, create an account, connect a repository, provide a backlog of scoped tickets (or use AI Ticket Studio), and assign tickets to GitStart agents. Monitor progress through Slack or your chosen communication channel, review PRs, and merge when satisfied.

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Developer

GitStart builds a hybrid engineering platform that combines LLM agents and human developers to convert tickets into merge-ready pull re…read more

Pricing and Plans

(Paid)

Custom / Enterprise

Popular
Contact for pricing

Custom pricing and engagement options provided after a demo and scoping call; contact sales to receive a quote.

  • Tailored engagement model and SLAs
  • Dedicated support and onboarding
  • Scoped access controls (GitSlice)
  • Integrations with repositories and trackers
  • Automated QA and review checkpoints

System Requirements

Operating System
Any OS with a modern web browser
Memory (RAM)
4 GB+ RAM
Processor
Any modern 64-bit CPU
Disk Space
No local storage required (cloud-based)

AI Capabilities

Code generation
Context-aware code understanding
Automated testing and QA
Ticket scoping and clarification