Loopsfinity

Loopsfinity is an AI development platform that coordinates specialized agents to handle software engineering tasks while keeping humans in control at critical decision points. The system maps your existing codebase into a living knowledge base, converts product requirements into sequenced development tickets, and then assigns implementation work to AI agents that write test-first code on isolated branches. Three mandatory human gates ensure you approve the plan before work begins, review pull requests before they merge, and authorize production deployments before code goes live. This architecture means AI handles the repetitive execution work while you retain authority over what actually ships.

The platform starts by having architect agents analyze your repository and build a structured map of modules, ownership boundaries, and test coverage. This knowledge base updates automatically within minutes of any merge, so documentation never drifts out of sync with actual code. The system describes this as documentation that argues back, because it detects when code and docs diverge and flags the inconsistency rather than silently becoming stale. Versioned sections receive quality scores, and module maps track ownership and testing status across your entire codebase. When you submit a product requirement, planner agents decompose it into development tickets with Gherkin-formatted acceptance criteria, dependency graphs built from real code relationships, and RICE scoring that includes cost estimates. You review and approve this plan at the first human gate before any implementation begins.

Implementation happens through a team of fifteen specialized agents, each with a narrow responsibility. They work test-first on isolated branches, receiving context packs that contain only the relevant slices of your codebase rather than the entire repository. This focused context delivery helps agents produce more accurate results because they are not distracted by unrelated code. Impact analysis shows which files will change and highlights fragility hotspots where modifications might cause cascading problems. When agents complete their work, pull requests arrive at the second human gate with diffs and impact summaries ready for your review. Approved changes merge with per-ticket rollback armed indefinitely, so you can reverse any individual change long after it shipped without affecting other commits.

The third human gate covers production deployment. You make the final call on what goes live, and the system tracks deployment status through integrations with GitHub Actions, AWS infrastructure scanning, Sentry error tracking, and CloudWatch monitoring. Production bugs that appear after deployment automatically return to the system as triaged stories, closing the feedback loop. A companion iOS app lets you monitor cloud-based development progress without needing your laptop, showing live activity feeds, gate status, and spending metrics. Every action carries an audit trail with authors and timestamps, which matters for teams with compliance requirements or those who simply want visibility into what their AI agents are doing.

Security is handled through architectural separation. Your credentials stay in your network because the control plane never holds your keys. Each customer gets a fully separate database instance with encryption, and GitHub and Jira integrations preserve your repository ownership rather than cloning code to third-party infrastructure. The platform integrates with GitHub for repository management, Jira for epic and story syncing, and common observability tools for deployment monitoring. Webhook support allows connections to additional systems in your stack.

Pricing follows a flat monthly model without token metering or compute-hour scaling. The Solo Founder tier runs ninety-nine dollars per month during the launch period with one seat, one repository group, and one Claude account setup. The Team tier at two hundred ninety-nine dollars per month supports up to five members across three products with parallel execution and priority same-day engineer support. Enterprise pricing is custom and includes unlimited members, support for codebases exceeding one million lines, and VPC or on-premises deployment options. Inference costs for the underlying Claude models are billed directly by Anthropic rather than marked up through Loopsfinity. A two-week pilot program lets you test the platform on one real milestone from your backlog before committing to a subscription.

This platform suits engineering teams maintaining existing products who want to accelerate delivery without handing over complete autonomy to AI systems. The human gates are structural rather than optional, which differentiates it from fully autonomous coding agents that promise to ship features without human review. Teams using GitHub and Jira will find the deepest integration support, while those needing strict audit trails and rollback capabilities will appreciate the accountability architecture. The pilot program offers a way to validate whether the system works with your codebase before any financial commitment.