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AI-driven software delivery under your control

Rustabaka helps engineering teams run AI-driven delivery with deterministic orchestration, operator visibility, and control over every important step.

Rustabaka interface screenshot

Built for real-world engineering teams

Autonomous delivery that stays manageable and predictable.

Deterministic orchestration

State machines, explicit events, and replayable transitions come before any prompt-driven execution path.

Observable out of the box

Operators can follow work from project to issue to subtask to agent task without reconstructing history from logs.

Multi-agent where useful

Stronger models can plan and review while cheaper execution paths handle routine implementation and follow-up.

Comparison

AI delivery needs more than an agent.

Terminal-first agents are great for hands-on coding. Managed AI engineers take delegated execution further. Blitzy pushes into large-scale transformation. Rustabaka adds determinism, recovery, and operational control around delivery.

Feature Terminal-first agents ? Managed AI engineers ? Rustabaka Blitzy
Interface & intake
Interactive terminal Core Limited Absent Absent
Prompt / chat intake Present Present Core Present
Execution & speed
Direct repo editing Core Core Limited Core
PR / MR collaboration Limited Core Core Core
Multi-project coordination Absent Limited Core Limited
Long-running work Limited Core Core Core
Time to first output Core Core Limited Limited
Large-scale modernization Limited Limited Limited Core
Autonomous task execution Limited Core Core Core
Control & governance
Workflow structure Absent Limited Core Limited
Approval gates Absent Limited Core Limited
Retry / recovery Absent Limited Core Limited
Deterministic control Absent Limited Core Limited
Operations & deployment
Observability Limited Limited Core Limited
Audit trail Limited Limited Core Limited
Customer-owned infra Variable Variable Core Variable

Terminal-first agents

Claude Code, Codex

  • Best for hands-on terminal coding
  • Fast path from prompt to output
  • Limited control around delivery

Managed AI engineers

Devin, Factory, Codegen

  • Strong autonomous task execution
  • Better support for long-running work
  • Some governance, but not a control layer

Rustabaka

Structure and control for AI delivery

  • Coordinates multi-project AI execution
  • Adds approvals, retries, and observability
  • Built for deterministic delivery control

Blitzy

Enterprise modernization platform

  • Strong repo and PR execution
  • Optimized for large-scale modernization
  • Heavier flow before first output

Workflow

Runs in small steps for better control. No magic.

External events Webhooks and triggers
Rustabaka Connects signals to structured execution
Chat messages Operator requests and follow-up
Project Top-level delivery scope
Issue Structured work item grouped under the project
Sub-task Executable slice linked to code
Merge request Attached back to the sub-task for review and shipping
01 Intake

Accept events fast

Inbound webhooks stay short, idempotent, and operationally boring.

02 Plan

Shape the work deterministically

Project, issue, and sub-task structure turns incoming signals into manageable execution.

03 Deliver

Dispatch the right runner

Operation (deterministic) and agent (LLM) runners do different jobs on purpose.

Execution

Every important step has a checkpoint.

Work does not move forward invisibly. Rustabaka comes with predefined step readiness and completion gates based on engineering and project management best practices.

  1. 01
    System checks

    Deterministic checks prove prerequisites before work moves forward.

  2. 02
    Agent approval

    Stronger models can review or approve work before the next step unlocks.

  3. 03
    Human intervention

    Operators can step in when context, risk, or judgment should stay with the team.

Latest plan ready for review
Approve plan

Represent the explicit approval gate that must clear before issue execution can proceed.

Planned issue dependencies acyclic
Agent reviewer approved
Planned issues materialized
Human reviewer approved

Designed with enterprise in mind

Your Rustabaka — your rules.

Deploy in your cloud

Keep data, queues, and execution inside infrastructure your team already owns and operates.

Bring your own models

Route work through the providers and gateways your organization already approves.

Sandboxed execution

Run agents in constrained runtimes with scoped permissions before anything touches code or infrastructure.