The “one repo per project” rule (Polyrepo) was the standard for microservices. For OTT leaders like Diagnal, this isolation now causes fragmentation across Web, Mobile, and TV apps. Managing dozens of repositories leads to “dependency hell” where Player or DRM logic is out of sync, pipelines are redundant, and AI agents lack the full context to assist.

A Monorepo is a unified strategy housing all media projects and tools in one home. Unlike old monoliths, it maintains clear boundaries while allowing teams to move at different speeds. It serves as a single source of truth, enabling AI to scan the entire ecosystem and share code effortlessly, enforcing global standards across all streaming platforms.

The debate isn’t about where the code physically sits, but how it interacts.

Monorepo vs. Polyrepo: Core Differences

Monorepo vs Polyrepo

• Monorepo: All projects live together, making changes in a shared library instantly visible. This enables atomic commits, where a single PR can update a core module and all dependent Web, Mobile, and TV apps. AI agents use this unified context to ensure updates are consistent across the entire ecosystem.Polyrepo: Each platform team works in its own repo, so updates remain siloed. If the Android team fixes a playback bug, the iOS or Smart TV teams might continue using an older version. This creates “Version Drift” across devices, leading to fragmented user experiences and more manual effort to sync releases.

Strategic Benefits for Large Teams

The power of monorepo

• Frictionless Code Sharing & Inner Sourcing Shared UI components and player logic are available instantly, allowing teams to contribute fixes across Web and TV platforms without the overhead of managing private packages or versioning.
• Unified Dependency Management A “Single Version Policy” for frameworks ensures the entire company moves together, eliminating security risks and technical debt while giving AI agents a consistent environment to suggest fixes.
• Cross-Team Visibility & Collaboration Frontend and Backend engineers can easily navigate the entire system’s code, leading to higher-quality peer reviews and better architectural alignment across various streaming devices.
• Atomic Refactoring & Global Updates An engineer can apply a branding change or security patch across every app in one pull request, ensuring total consistency across the OTT ecosystem without manual coordination.
• Instant Developer Onboarding New hires can access the entire codebase with a single command, allowing them to be productive on Day 1 by understanding how different modules interact rather than hunting for permissions.

Challenges and Trade-offs

Monorepos are not a silver bullet. They introduce specific scaling problems that require technical attention:

• VCS Performance Standard Git commands can become sluggish as history grows to millions of lines. AI agents can mitigate this by intelligently indexing the specific OTT modules an engineer is currently working on.
• Tight Coupling Without strict boundaries, it is easy to create messy dependencies between unrelated projects. This risk is managed by using metadata to define clear API contracts between Web, Mobile, and TV services.
• Notification Management Large repos require sophisticated configurations so developers aren’t flooded with PR notifications. Modern tools use ownership rules to route alerts only to those responsible for specific media or platform modules.

When to Adopt a Monorepo: The Strategic “Need”

• High-Density Logic and UI Component Sharing Centralizing shared design systems and player logic eliminates the “copy-paste” crisis, ensuring that a single update to a core media tool is instantly available to every TV and mobile application.
• Operationalizing Global Engineering Standards A unified repository allows you to enforce the same linting, testing, and security benchmarks across every project, providing AI agents with a consistent codebase to automate audits and quality checks.
• Fostering a Transparent “Inner Sourcing” Culture Removing repository walls allows any developer to suggest fixes to any project, breaking down informational silos and empowering teams to solve playback or UI issues wherever they arise.

AI: The Intelligence Layer for Monorepos

AI and Agentic development act as a force multiplier for Monorepos, simplifying the management of complex, multi-platform codebases. Since AI agents can “see” the entire repository at once, they provide a level of support that is impossible in fragmented Polyrepos.

• Total Context for AI Agents: In a Monorepo, AI understands the full relationship between your core logic and your apps. If you update a video player module, the AI can instantly identify and fix every affected UI component across Web, Mobile, and TV.
• Automated Cross-Platform Updates: AI agents can handle the “grunt work” of dependency management. They can autonomously create a single Pull Request to update a shared library or security patch across every project in the company, ensuring no platform is left behind.
• Smarter, Faster Deployments: AI can analyze the dependency graph to predict which changes are risky. It can intelligently trigger only the necessary tests and suggest the safest deployment order, preventing sync issues between your backend and frontend apps.
• Instant Knowledge Access: Instead of searching through separate docs, developers can ask an AI agent how any part of the system works. The AI scans the entire Monorepo to provide instant answers, making it much easier for new engineers to navigate a large codebase.

When to Avoid a Monorepo: The “Anti-Patterns”

While the benefits are significant, a monorepo is not the right fit for every organization. You should consider staying with a Polyrepo if:

• Loose Organizational Ties If your projects are unrelated businesses or different OTT clients with no shared media logic, a monorepo adds complexity without providing any unified platform benefits.
• Strict Security Isolation If certain streaming codebases require extreme “air-gapped” security where even other employees shouldn’t have read access, a single repository creates a massive compliance and access-control headache.
• Lack of DevOps Resources Operating a large monorepo requires dedicated time to maintain specialized AI-driven tooling; without this support, the repository will eventually become slow and unmanageable for large scale media teams.
• Small, Independent Teams If you only have a few developers who rarely share logic between mobile and web, the overhead of setting up “Intelligent Pipelines” and remote caching will outweigh any time saved.
• Open Source Packaging Primary If your primary goal is to build small, independent open-source tools that don’t depend on each other, a Polyrepo remains the global standard for the community and ease of distribution.

Tooling and Ecosystem Overview

A Monorepo without specialized tooling is unmanageable. Modern tools understand the dependency graph, ensuring you only build what is necessary.

CI/CD and Build Optimization Strategies

In a Monorepo, running the entire test suite for every PR is impossible because it would take hours. High-performance teams rely on two specific strategies:

1. Affected Builds

The system analyzes the dependency graph to identify specific impacts. If a developer changes a CSS file in the “Billing UI,” the system knows the Video Player or “Auth Service” is unaffected and skips those tests entirely, ensuring fast delivery for OTT apps.

2. Remote Caching

Remote caching allows the CI/CD server to “remember” previous builds across the organization. If a shared media library has been compiled by a teammate, your machine downloads the result instead of rebuilding, providing an AI-ready shared brain that reduces build times by 70% to 90%.

Conclusion

Monorepos represent a strategic shift toward engineering transparency and velocity for OTT leaders like Diagnal. While the transition requires an upfront investment in DevOps and AI-driven tooling, the payoff is a significant reduction in multi-platform integration friction. By centralizing the codebase, organizations can enforce global standards and foster a culture of open collaboration across Web, Mobile, and TV teams. This is why industry leaders have championed this approach for decades, proving that a unified codebase is the most effective way to sustain high-speed innovation at scale.