July 28, 2026 - BridgeApp, an AI-native workspace developed by Math & Magic, has introduced an orchestration layer designed to automate the software development process from initial task to completed pull request.
The feature coordinates a team of AI agents - including Architect, CTO, Backend, Frontend, Analyst, and QA roles - that carry a task through planning, execution, and review stages. According to the company, the system is designed to reduce the manual work of moving context and output between separate tools, which it describes as a primary bottleneck for engineering teams that already use AI coding assistants. Every completed task enriches BridgeApp's model of your codebase — so the next change is planned against richer context than the last.
The platform is model-agnostic, allowing each agent to run a different underlying AI model depending on the task. Review checkpoints are placed between each stage, and the company says human team members can intervene at defined approval points. Errors, it says, are intended to be caught at the next checkpoint rather than after code reaches production. Pick a ready-made template — a virtual team with a best-practice task lifecycle — or customize everything to fit your workflow. Users can add workflow stages, AI roles, or human checkpoints, and assign LLMs per role — start with best practices, adapt later.
BridgeApp reports that the cost of completing a task fell roughly tenfold compared with the equivalent human time, from hundreds of euros to tens of euros. The company said it built the feature around software development first but that the same approach can apply to other business processes.
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.
The orchestration layer builds on the company's existing workspace, which combines messaging, task management, documents, databases, and custom AI agents. BridgeApp offers cloud, on-premise, and hybrid deployment. More information is available 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 integrated platform. Cloud, on-premises, and hybrid deployments give teams full control over their data. BridgeApp is built by Math & Magic.
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