
Loopsfinity
Agentic software development with AI architects, planners, and builders under human control
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About Loopsfinity
Loopsfinity is an AI powered software development platform that coordinates multiple specialized agents to handle the full lifecycle from planning through production deployment. Instead of one generalist AI assistant, it uses distinct agents for architecture mapping, planning, and code implementation, each doing what it does best while humans retain control at critical decision points.
The architecture breaks down into three agent types. Architects scan your codebase and turn it into living documentation that stays current as the code evolves. Planners take requirements and convert them into sequenced, dependency ordered stories ready for execution. Builders implement features using a test first methodology, writing tests before code to catch problems early. The division of labor means each agent stays focused rather than trying to be a jack of all trades.
What separates Loopsfinity from autonomous coding tools is the three mandatory human approval gates. Gate one lets you review and approve plans before any code gets written. Gate two puts you in control of pull request reviews before anything merges. Gate three requires authorization before production deployment. You are not handing your codebase to an AI and hoping for the best. You are directing agents that pause for your input at every meaningful checkpoint.
The platform integrates with the tools development teams already use. GitHub for version control, Jira for issue tracking, AWS for infrastructure, and Sentry and CloudWatch for monitoring. Your code stays in your repositories and credentials remain on your network. Loopsfinity runs alongside your existing workflow rather than replacing it, which matters for teams with compliance requirements or established processes they can not abandon.
Every action the agents take is logged in a full audit trail. If something goes wrong or you need to understand why a decision was made, you can trace back through the history. This transparency is useful both for debugging and for satisfying any internal review processes your organization might have.
Pricing is flat monthly rather than token based. The Solo Founder tier runs ninety nine dollars per month during the launch offer and includes one seat, one repository group, full pipeline access, and email support. The Team tier at two ninety nine per month supports up to five team members, parallel ticket execution, and priority same day support. Enterprise pricing is custom and includes VPC or on prem deployment options for organizations that need that level of control.
One thing to note is that Loopsfinity does not resell Claude access. You set up your own Anthropic account and inference costs get billed directly to you by Anthropic. This separates platform costs from AI usage costs, which can be good or bad depending on how much inference your workflows consume. The two week pilot program lets you evaluate the platform against specific metrics before committing.
Key Features
- Specialized architect planner and builder agents
- Three mandatory human approval gates
- GitHub Jira AWS Sentry CloudWatch integration
- Full audit trail of all agent actions
- Test first implementation methodology
- Parallel ticket execution on team plans
Pros & Cons
What we like
- Human control at every critical decision point
- Code stays in your repositories with credentials on your network
- Flat monthly pricing instead of unpredictable token billing
- Integrates with existing development tools rather than replacing them
Room for improvement
- Requires separate Anthropic account for inference costs
- Solo tier limited to one repository group
- Relatively new product with smaller user community
- On prem deployment only available at enterprise pricing
Frequently Asked Questions
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