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RepoBird

Cloud coding agents that turn an issue into a pull request, running many in parallel with per-run approved credit caps and BYOK support

freemiumFree at $0: 200 trial credits, OpenCode models only, 1 active concurrent run with 30 queued, a low approved credit cap, template browsing and repository connection. Starter is $20/month (or $192/year, saving 20%): 2,000 credits per month or 19,200 per year, 8 active concurrent runs with 30 queued, 8 BYOK concurrent runs, Basic and Pro presets and top-up credits. Pro is $100/month (or $960/year): 10,000 credits per month or 96,000 per year, 16 active concurrent runs with 30 queued and 16 BYOK concurrent runs. Enterprise is a custom contract with custom credit grants, concurrency, billing and model configuration. Pay-as-you-go packs: 1,000 credits $10, 2,500 credits $25, 10,000 credits $100 — purchased credits do not expire in this version.View full pricing →

About RepoBird

RepoBird runs one-shot cloud coding agents against your repositories: you describe a task in the dashboard or the CLI, an agent works in an isolated sandbox, and what comes back is a pull request with a summary, tests and the changed files attached — prompt to PR, with no chat session to babysit. The design choice that distinguishes it is parallelism. Multiple agents run concurrently through a run queue, each on its own issue, so a backlog of small fixes clears simultaneously rather than one conversation at a time; the concurrency ceiling is what the paid tiers actually sell, rising from one active run on Free to eight on Starter and sixteen on Pro, with thirty queued on each. It connects through a GitHub App or a GitLab button, works on private repositories, and supports bring-your-own-key so you can point it at your own model provider and keep that billing separate from the platform's. A template marketplace ships more than 350 pre-built agentic prompts — unit test generation, README generation, an OWASP-flavoured security audit, dependency updates, lint fixes, DRY refactoring — each with a rating and an execution count, so you can start from something other people have already run rather than authoring the prompt yourself. Every run uses an approved credit cap agreed before it starts, so a runaway agent cannot quietly spend the month.

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Key Features

Prompt to pull request in an isolated sandbox, no chat loop
Parallel run queue — up to 16 concurrent agents on Pro
GitHub App and GitLab support, including private repositories
350+ template marketplace prompts with ratings and run counts
Every run bounded by an approved credit cap before it starts

Tags

ai-agentsgithubgitlabcode-generationdeveloper-tools
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