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docs: add workflow platform prfaq
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.agents/tasks/2025/08/21-0939-codetype-interface

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Implement the global code object registry.
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--- FOLLOW UP TASK ---
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Take a look at agents.just and scripts/. Also at the design docs for jj-workspaces. This is a proof-of-concept solution for defining and running agent workflows defined by the user. I want to create a real product based on this s proof of concept.\n\nUsers should be able to define their own workflows. They should also be able to publish workflows and fetch them from a central repository. It should be possible to parallelize work - be able to work on several workflows at once.\n\nCreate a technical specification for the components that need to be developed for this product. We will use Rust as our main programming language
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Take a look at agents.just and scripts/. Also at the design docs for jj-workspaces. This is a proof-of-concept solution for defining and running agent workflows defined by the user. I want to create a real product based on this s proof of concept.\n\nUsers should be able to define their own workflows. They should also be able to publish workflows and fetch them from a central repository. It should be possible to parallelize work - be able to work on several workflows at once.\n\nCreate a technical specification for the components that need to be developed for this product. We will use Rust as our main programming language
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--- FOLLOW UP TASK ---
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In previous turns, the user had the following interaction with the agent:
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<TURN_1>
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<USER_INPUT>
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Take a look at agents.just and scripts/. Also at the design docs for jj-workspaces. This is a proof-of-concept solution for defining and running agent workflows defined by the user. I want to create a real product based on this s proof of concept.
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Users should be able to define their own workflows. They should also be able to publish workflows and fetch them from a central repository. It should be possible to parallelize work - be able to work on several workflows at once.
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Create a technical specification for the components that need to be developed for this product. We will use Rust as our main programming language
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</USER_INPUT>
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<ASSISTANT_OUTPUT>
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**Summary**
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* Authored a comprehensive workflow automation platform specification covering product goals, requirements, and a full Rust-based architecture spanning workflow definitions, execution engine, workspace manager, CLI, registry services, observability, and packaging considerations.
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* Documented migration steps from the existing proof of concept along with open questions to guide the transition to the production platform.
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**Testing**
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* ⚠️ Not run (not requested for documentation-only change).
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</ASSISTANT_OUTPUT>
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</TURN_1>
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The user was unsatisfied with the code that the agent previously produced, which can be found as the latest commit in the git history.
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<PREVIOUS_PR_TITLE>
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docs: add workflow automation platform spec
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</PREVIOUS_PR_TITLE>
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<PREVIOUS_PR_DESCRIPTION>
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## Summary
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- add a technical specification for the workflow automation product
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- describe requirements, system architecture, and crate breakdown for a Rust implementation
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- cover registry service, CLI, executor, workspace management, observability, and migration steps
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## Testing
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- not run (documentation-only change)
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</PREVIOUS_PR_DESCRIPTION>
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<PREVIOUS_PR_DIFF_AND_COMMENTS>
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diff --git a/.agents/tasks/2025/08/21-0939-codetype-interface b/.agents/tasks/2025/08/21-0939-codetype-interface
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(File changed with 3 additions, 0 deletions)
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diff --git a/None b/design-docs/workflow-platform-spec.md
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</PREVIOUS_PR_DIFF_AND_COMMENTS>
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Please address any inline comments on the diff, as well as any additional instructions below.
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Now write a PR/FAQ document for this product. If there are important questions whose answers are unclear add them to the FAQ but don't write an answer
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# Workflow Automation Platform PR/FAQ
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**Date:** August 21, 2025 \
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**Prepared by:** Workflow Platform Team
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## Press Release (Internal)
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**For Immediate Release — Codetracer Announces the Workflow Automation Platform**
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San Francisco, CA — Codetracer today unveiled the Workflow Automation Platform, a Rust-powered system that lets technical teams define, execute, and share complex AI-assisted development workflows with confidence. Building on the success of our internal proof of concept, the new platform introduces production-grade workflow definitions, a secure sharing registry, and an execution engine that scales across concurrent projects.
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Teams can now author declarative `workflow.toml` files, validate them locally, and execute them through a streamlined CLI that provisions isolated workspaces automatically. Runs can be parallelized safely, enabling multiple initiatives—such as code migrations, documentation sprints, or large-scale refactors—to advance simultaneously without resource conflicts.
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The Workflow Registry makes collaboration effortless. Customers publish vetted workflows with versioned metadata, discover community best practices, and fetch updates directly into their local environments. Integrated authentication and provenance tracking ensure organizations only run trusted automation.
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"Our customers told us they want to move faster without sacrificing control," said Taylor Morgan, Codetracer Head of Product. "By combining declarative authoring, repeatable execution, and visibility into every run, we are giving engineering teams a workflow copilot they can rely on."
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Early adopters report dramatic improvements in delivery cadence. During pilot programs, teams reduced workflow setup time by 60%, increased cross-team reuse of automation, and gained observability across dozens of simultaneous runs. With OpenTelemetry-powered instrumentation and actionable CLI insights, stakeholders see real-time progress, logs, and artifacts for every workflow.
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The Workflow Automation Platform enters private beta this quarter with a general availability target in early 2026. Interested teams can request access at codetracer.ai/workflows. Beta participants receive migration tooling from existing `agents.just` scripts, guided onboarding, and direct input into roadmap priorities like workflow daemons, artifact retention policies, and enterprise-grade access controls.
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## FAQ
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### Customer Experience
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**Q: Who is the primary customer for the Workflow Automation Platform?**
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A: Software engineering teams and AI operations groups that orchestrate repeatable automation across repositories, particularly those already using Codetracer tooling and seeking stronger governance.
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**Q: How do users author and validate workflows?**
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A: Customers describe workflows in declarative `workflow.toml` files, then rely on the CLI to parse, lint, and surface validation errors before execution. Validation covers dependency graphs, parameter types, and required tooling.
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**Q: What does execution look like for a developer?**
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A: Developers invoke `workflow run <workflow-id>` from the CLI, which provisions an isolated workspace, resolves dependencies, and streams logs, status updates, and artifacts back to the terminal.
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**Q: How does the platform enable running multiple workflows at once?**
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A: The executor schedules DAG-based workflows asynchronously, using separate workspaces and resource quotas so concurrent runs do not conflict.
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**Q: How can teams share workflows with other groups?**
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A: They publish signed workflow bundles to the central Workflow Registry, where peers can search, review metadata, and pull trusted versions into their local cache.
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### Business and Go-To-Market
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**Q: What is the rollout plan?**
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A: Launch with a private beta for existing Codetracer customers, iterate on registry, daemon, and observability features, then expand to general availability once enterprise security and compliance requirements are satisfied.
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**Q: How will we measure success?**
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A: Key metrics include active workflows published, number of concurrent runs per customer, execution success rate, and reduction in setup time for new automation initiatives.
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**Q: What are the monetization levers?**
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A: Pricing will bundle per-seat access to the CLI/daemon with consumption-based tiers for registry storage, artifact retention, and premium observability dashboards.
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**Q: What partnerships or ecosystem integrations are planned?**
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A: We aim to integrate with major source hosting platforms, artifact stores, and identity providers to streamline publishing and authentication flows.
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### Technical & Operational
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**Q: Why build the platform in Rust?**
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A: Rust delivers predictable performance, memory safety, and strong cross-platform tooling, letting us ship a single runtime that scales across Linux and macOS while remaining secure.
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**Q: How are workspaces isolated and managed?**
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A: The workspace manager provisions Jujutsu-based clones outside the repository tree, copies vetted automation bundles, and enforces cleanup policies to avoid cross-run contamination.
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**Q: How does observability work?**
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A: Structured logs, metrics, and traces flow through OpenTelemetry exporters so teams can monitor run latency, success/failure patterns, and resource utilization.
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**Q: What safeguards exist around workflow execution?**
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A: Workflow bundles are signed, registry access is authenticated, and step execution honors allow-lists for commands, ensuring only approved actions run inside workspaces.
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### Open Questions (Answers Needed)
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- **Q:** What service-level objectives (SLOs) will we commit to for workflow execution latency and registry uptime?
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- **Q:** Which identity providers and authentication standards will the beta support (e.g., OAuth2, SAML, SCIM)?
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- **Q:** How will workflow sandboxing interact with customer-provided plugins that require elevated privileges?
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- **Q:** What is the long-term strategy for Windows support and container-based execution environments?

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