Overview
This feature introduces a Zero-Knowledge (ZK) encrypted real-time collaboration system for opencode-android. Two or more developers can collaborate on the same codebase without either party ever seeing each other's raw source code β only the semantic diff and AI-synthesized merge suggestions are shared, encrypted end-to-end using homomorphic encryption principles adapted for mobile.
The Problem This Solves
Current collaboration tools (GitHub, pair programming sessions, live share) require both parties to have full read access to the codebase. This is a fundamental security and IP violation in many professional contexts:
- Contractors who must collaborate but cannot expose client source code
- Open source contributors who want to suggest patches without seeing proprietary internals
- Enterprise environments where need-to-know policies conflict with collaboration needs
- Whistleblowers and privacy-critical developers who need plausible deniability
Architecture: Blind Peer Coding Protocol (BPCP)
Phase 1 β Commitment Scheme
Each collaborator publishes a cryptographic commitment to their current code state:
commitment = SHA3-256(salt || AST_hash || timestamp)
This proves you have code without revealing what it is.
Phase 2 β Encrypted Semantic Diff
Instead of sharing raw code, only the semantic diff vector is shared β a mathematical representation of what changed in meaning encoded in a high-dimensional embedding space, then encrypted with the recipient's public key:
fun encryptSemanticDiff(diff: SemanticDiffVector, recipientPublicKey: ECPublicKey): EncryptedBlob {
val embedded = DiffEmbeddingEngine.embed(diff) // 768-dim vector
return ECIESCipher.encrypt(embedded.toByteArray(), recipientPublicKey)
}
Phase 3 β AI-Mediated Merge
The AI model (running locally) acts as a trusted third party that:
- Decrypts the incoming semantic diff in a secure enclave
- Proposes a merge that satisfies both parties' intentions
- Presents the merge to each developer WITHOUT revealing the other's source
- Each developer can accept, reject, or counter-propose
Zero-Knowledge Proof of Correctness
To prevent malicious collaborators from submitting broken code disguised as valid diffs, every encrypted diff is accompanied by a ZK-SNARK proof that the encrypted content:
- Compiles without errors
- Passes a mutually agreed-upon test suite
- Does not introduce known vulnerability patterns (checked against CVE embeddings)
All of this is verified WITHOUT decrypting the code.
UI/UX Design
- Collaboration Bubble: A floating bubble shows active blind collaborators as anonymous avatars with randomly assigned color+shape identities
- Diff Heatmap: A heat map of your own file shows where the other party's changes intersect your code β without showing what those changes are
- Trust Score: Each collaborator builds a reputation score over time based on merge acceptance rates and ZK proof validity
- Emergency Reveal: With mutual consent (both parties must agree), a full reveal can be triggered to resolve deadlocks
Acceptance Criteria
"Collaborate like you're in the same room. Stay private like you're in different countries."
Overview
This feature introduces a Zero-Knowledge (ZK) encrypted real-time collaboration system for opencode-android. Two or more developers can collaborate on the same codebase without either party ever seeing each other's raw source code β only the semantic diff and AI-synthesized merge suggestions are shared, encrypted end-to-end using homomorphic encryption principles adapted for mobile.
The Problem This Solves
Current collaboration tools (GitHub, pair programming sessions, live share) require both parties to have full read access to the codebase. This is a fundamental security and IP violation in many professional contexts:
Architecture: Blind Peer Coding Protocol (BPCP)
Phase 1 β Commitment Scheme
Each collaborator publishes a cryptographic commitment to their current code state:
This proves you have code without revealing what it is.
Phase 2 β Encrypted Semantic Diff
Instead of sharing raw code, only the semantic diff vector is shared β a mathematical representation of what changed in meaning encoded in a high-dimensional embedding space, then encrypted with the recipient's public key:
Phase 3 β AI-Mediated Merge
The AI model (running locally) acts as a trusted third party that:
Zero-Knowledge Proof of Correctness
To prevent malicious collaborators from submitting broken code disguised as valid diffs, every encrypted diff is accompanied by a ZK-SNARK proof that the encrypted content:
All of this is verified WITHOUT decrypting the code.
UI/UX Design
Acceptance Criteria