10-duo wave — parallel feature builds · V1

Multi-Agent Wave

The retained February 9, 2026 study describes feature-focused Codex and OpenCode pairs working in parallel. This page records the declared tasks, implementation and review roles, and limits of the available completion evidence.

Declared feature tasks: 10

Declared implementation and review roles

Codex role

Implementation

The retained report describes Codex CLI with OpenAI's gpt-5.2-codex or a variant reading the feature specification, editing files and running tests. This describes the assigned role, not independently verified completion.

OpenCode role

Review and refinement

The retained report assigns OpenCode with a cloud Anthropic model to inspect the implementation and request changes. The report does not provide an exact reviewer-model identifier for every feature. Assigning a review role is not evidence that a final change passed review.

The declared feature work

Name	Description
GraphQL API	GraphQL endpoint over the production platform data layer
Coverage	Raise pytest coverage above project threshold
Namespace	Multi-tenant namespace partitioning
Multitenant	Tenant isolation through schema or row-level security
Compliance	SOC 2 / HIPAA / GDPR controls inventory
Brain Tests	RAG pipeline integration tests
xpassed promotion	Convert pytest xpassed cases to xfail or pass
pytest markers	Standardize test markers across modules
Analytics	Customer-facing usage analytics surface
Finetuning	Local LLM finetuning pipeline

What the available records establish

Record	What it supports	Limit
Declared feature list	The intended work covered API and data separation, tests, governance-related inventories, analytics and model tooling.	A feature assignment is not a verified completed implementation or production release.
Implementation and review roles	The design separated code changes from a second-model review role.	Role descriptions do not establish the quality or completion of each review.

The retained public feature-wave record does not supply a verified per-feature completion table. No missing pass/fail results are filled in. Launch activity, status text, a test invocation and a reviewed artifact require separate evidence.

Models

gpt-5.2-codex