WIZCLAW
A model-agnostic engineering layer
Different coding agents perform differently across repositories, languages, interaction styles, and task types. We treat the coding engine as a replaceable worker behind stable work packets, repository instructions, policy, and evaluation. This lets teams use the strongest engine for each job without rebuilding the delivery process around one vendor.
Repository memory
Architecture, conventions, runbooks, ownership, and task-specific context stay explicit.
Isolated work
Scoped branches or worktrees, least-privilege tools, budgets, and parallel ownership.
Evidence gates
Tests, static analysis, diff review, security checks, preview environments, and approval.
What we implement
We design the task router, agent roles, context protocol, CI integration, evaluation suite, escalation rules, audit trail, and deployment gates. The result is a repeatable process that can use Claude Code, Codex, or another approved engine without sacrificing accountability.
Bring your repository and current agent workflow.
We will show where orchestration can increase throughput without increasing ambiguity.