BridgeApp Cuts Cost-Per-Task Roughly 10x With New AI Orchestration Layer for Software Development

Limassol, Cyprus, July 30th, 2026, FinanceWire

A virtual team of AI agents runs the full development cycle end-to-end, collapsing the tool sprawl that slows engineering teams down

BridgeApp, the AI-native workspace built by Math & Magic, announced an orchestration layer that turns any workspace into an automated AI development pipeline - and reports a roughly 10x drop in cost per completed task, from hundreds of euros in human time down to tens of euros. BridgeApp learns a codebase and delivers production-ready changes, from task to pull request.

The economics come from a structural shift. AI coding agents already let developers produce far more output, but a person still has to carry that output between 10–15 tools a day, switching context more than a thousand times. BridgeApp's orchestration layer removes that manual handoff: a virtual team of AI agents - Architect, CTO, Backend, Frontend, Analyst, and QA - picks up a task and carries it through planning, execution, and review, handing off a finished pull request with no human copy-pasting in between. Agents operate on a model of the system—rather than raw files—and most review takes place before human involvement.

"AI helps developers produce 10x more, but someone still has to carry that output between ten or fifteen tools a day," said Rinat Shaykhutdinov, CTO and Co-Founder of BridgeApp.

Each agent runs the model best suited to its job - backend on one model, frontend on another - because the platform is model-agnostic and gives teams access to all major AI models on the market. Checkpoints sit between every stage, so errors are caught at the next review point rather than weeks later in production, and a human can step in at exactly the points that matter. A ready-made template—a virtual team with a best-practice task lifecycle—can be selected, or workflows can be customized to meet specific requirements. Once repositories are connected, the AI development pipeline takes over by picking up tasks, routing them through the team's workflow, and moving them from idea to code automatically. Internal review loops catch issues before human review.

BridgeApp automatically indexes repositories, builds an understanding of the system architecture, and generates an implementation plan. It then writes and implements the code, creates tests, runs internal review cycles, and distributes tasks between agents as needed. It resolves review feedback and continuous integration failures, submits a pull request ready for production, and updates both the documentation and its internal system knowledge.

BridgeApp launched development as its flagship case because the value is immediately visible, but the same mechanism applies to almost any business process, not just code. Every completed task enriches BridgeApp's model of the codebase, allowing subsequent changes to be planned with richer contextual information.

Teams can request a demo and a pilot on a piece of their actual backlog at bridgeapp.ai.

About BridgeApp

BridgeApp is an AI-native workspace that unifies team communication, project management, documents, databases, and custom AI agents into a single platform, with cloud, on-premise, and hybrid deployment. It is built by Math & Magic.

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