Parallelize your
Engineering without
the Merge Conflicts.
Oceu uses multi-agent AI to decompose features into microservices, map dependencies into a DAG, and execute tasks in parallel — so your team ships faster with zero conflicts.
Conflict-free development,
by design.
Oceu eliminates merge conflicts at their root — not by resolving them faster, but by ensuring they never happen in the first place.
Predictive File-Mapping
Before a single line of code is written, Oceu's AI predicts exactly which files each task will touch. Conflicts are prevented at the planning stage — not discovered during code review.
- Analyzes codebase structure and historical change patterns
- Maps task requirements to file-level impact predictions
- Flags potential overlaps before assignments are made
- Continuously refines predictions as your codebase evolves
Dynamic DAG Task Coloring
Tasks are organized into a Directed Acyclic Graph and color-assigned to identify parallelizable work streams. The result: maximum engineering throughput with zero merge conflicts.
- Decomposes features into dependency-aware task nodes
- Graph coloring algorithm identifies parallel execution paths
- Real-time DAG rebalancing as tasks complete or change scope
- Visual pipeline showing team velocity and bottlenecks
Multi-Agent Orchestration,
powered by the best in AI.
Multiple AI agents work simultaneously across different microservices, powered by AWS Bedrock and Google Vertex AI — each agent reasoning, coding, and validating in its own isolated execution context.
Multi-Agent System
Specialized AI agents work in parallel, each owning a microservice boundary — decomposing, implementing, and validating independently.
AWS Bedrock
Foundation models via AWS Bedrock power code understanding, dependency analysis, and intelligent task decomposition at scale.
Google Vertex AI
Vertex AI provides advanced reasoning for conflict prediction, DAG optimization, and real-time pipeline rebalancing.
Microservice Decomposition
Features are automatically broken into clean microservice boundaries, ensuring each agent operates on an isolated, well-defined scope.
DAG Orchestration
A directed acyclic graph maps every task dependency, enabling the scheduler to maximize parallelism while preserving correctness.
Conflict-Free Guarantees
Formal verification ensures no two agents touch overlapping files. If a conflict is predicted, tasks are re-sequenced automatically.
Ship faster. Conflict-free.
Be among the first teams to experience AI-driven parallel development. Join the waitlist for early access to Oceu.
Questions? Reach us at jatinx@oceu.online