Roo Code After the Extension Shutdown: Permissions and Migration

Roo Code now needs to be assessed in the context of its extension shutdown, not as a new installation recommendation. Official documentation announces shutdown on May 15, and the official repository has been archived read-only since May 15, 2026. Editorial verification on November 2, 2026 confirms that these notices remain present in the official sources.

For businesses that used this type of assistant, the useful question is what should survive a tool change: project requirements, access rules, tests and delivery controls. Source code available in an archive is not equivalent to an active service or continued official extension maintenance. These are separate conditions that should not be inferred from one another.

This guide explains mechanisms described in archived documentation and proposes a method for transferring a working process. It neither installs extensions nor performs a migration. Authentic photographs show code on a screen and a storage drive; they are not Roo Code captures, client projects or evidence of a tested backup. The workflow examples are proposed design scenarios.

What does the Roo Code shutdown mean for an existing project?

Distinguish product status from source code remaining in an archive

The official notice concerns the Roo Code extension. Repository archival establishes that this repository is read-only. It does not establish how every local copy behaves, whether a connected model remains available or the status of every community fork. A business decision starts with the actual combination in use and the party responsible for its maintenance, not assumptions about unrelated components.

The proposed inventory records the extension version, project conventions, transmitted data and features on which the team depended. Separate what belongs to the developed application from what existed only in the assistant's interface. Tests, criteria and rules retained in portable files can remain useful after the product that used them is retired. The application's source and operating requirements retain their own value.

In the series about types of artificial intelligence, a coding assistant is an application built around a model and tools. Extension status is not the status of all AI models. Assess the editor, processing provider, integrations and software project separately. The team still needs to maintain that project regardless of which assistant was previously used to work on it.

What did Roo Code do inside the development environment?

An assistant with tools can produce effects, not just explanations

Archived documentation describes file reading, proposed edits, terminal commands and connected services. These capabilities distinguished it from a conversation that returns a code fragment only. Assess each operation and actual permission rather than relying on the general “AI assistant” label. The relevant question is which resources and effects the configured environment allowed, not how confidently the assistant described its intended work.

Documented modes separated activities such as planning, questions and editing through configured tool groups. A role guided behaviour rather than establishing professional qualifications or output correctness. A mode without local file editing could still access connected services whose effects needed separate assessment. Mode names therefore do not provide a complete description of an application's access boundary or its interactions with other systems.

The guide to AI agents and autonomy explains capability versus authority. During migration, ask what the new tool may read, modify or execute. A similar mode label does not establish equivalent permissions and approvals. Record the actual configuration so the team can understand which operations are permitted and which require an additional, specific decision before execution.

How do we assess reading, editing and command execution?

Each capability has a boundary and an effect to check

Reading can expose information to the component assembling model context. Editing changes files. The terminal may invoke programs and external systems, while connected services have their own permissions. In the proposed project, access is limited to an isolated copy and demonstrative data, without implicitly supplying production credentials to the assistant. These restrictions concern the environment as well as the written task description.

Roo Code documentation describes automatic approvals as removing confirmation prompts for selected capabilities. That is not an additional check of user intent. During transfer, reassess settings and approve operations according to their actual effects. Do not import global approval merely to reproduce the convenience of an older interface. Existing preferences should be understood before they are recreated in another product.

A test command may execute project-defined scripts and require a particular environment. Check its purpose before running it. A familiar name or permitted prefix does not explain every effect of arguments and invoked scripts. Requesting a form modification does not automatically authorise publishing a release or changing the database. Those are distinct operations with their own scope, prerequisites and approval conditions.

What enters context, and where can it go?

A local extension is not the same as local processing

The archived Roo Code policy, updated in September 2025, describes sending relevant context to the selected model provider. That documents a data path, not a finding that every configuration processes everything locally. Telemetry and model-request processing are separate paths requiring separate checks. The location of an editor alone does not establish where information used by its assistant is processed.

In the proposed project, provide files needed for the requirement and explanations of affected components. Exclude secrets, copies of real databases and documents unrelated to the task. Repository access does not make every file suitable for transmission to a model or observability service. Decide which material is necessary and permitted before constructing the context for the requested intervention.

An AI application's context window and memory explain why a long history does not equal understanding the entire project. During transfer, retain requirements and rules in a clear, checkable form rather than only an old conversation. Compare the assistant's summary against files and confirmed decisions. A generated summary is a useful proposal, not an authoritative replacement for the underlying evidence.

How do we specify a small, checkable change?

Define the outcome before requesting code

The proposed working example adds an optional field to an internal form. Acceptance criteria identify its label, validation rule, where the value appears and behaviour when left empty. Do not simultaneously request a form rebuild, redesign and whole-application optimisation in the same sentence: that mixes intentions and checks. A bounded requirement makes it possible to explain why each proposed change is necessary.

Also state what remains unchanged: permissions, existing data, other fields and submission route. If the addition requires new storage, that becomes an explicit part of assessment, with data migration and recovery handled separately. A database-schema change should not be hidden behind an apparently visual-only request. The reviewer needs to understand both interface behaviour and any persistence affected by the new field.

When developing the team's AI skills, this distinction matters: users should recognise explanation, proposal and executed action as different outcomes. Agreement on a direction does not automatically approve every subsequent operation. The intervention remains tied to the project's confirmed purpose and acceptance criteria, including the boundaries that must remain intact when an assistant proposes additional work.

What should we inspect in the proposed code difference?

Review starts with the project's current state

Before application, inspect affected files and changes already present. A proposal built for an older version can overwrite someone else's work even if it looks correct in isolation. The difference should explain additions, removals and why each affected file is needed for the particular requirement. Unrequested general rewrites make that relationship harder to inspect and may introduce unrelated consequences.

For the optional field, follow the interface, validation and any persistence. Check that a new dependency is not added for a simple operation and that an existing rule is not duplicated. If the problem originates in the data source, a display adjustment should not hide it or create divergent interpretations. Resolve the cause at the appropriate boundary rather than accumulating compensating transformations elsewhere.

Define the review's scope as well. A file is not fully audited merely because it appeared in conversation context. The reviewer checks the relevant portion and requirement-related effects. Problems discovered outside scope are recorded separately, not automatically resolved through broad changes that alter the project without notice. This keeps the proposed intervention understandable and preserves ownership of existing work and decisions.

How do we check that the change works?

Tests remain useful after the assistant is replaced

The proposed cases include an empty field, accepted value and invalid input. Also check the existing form, permissions and mobile display. The acceptance list should be executable without relying on one assistant's interface. This transfers evidence of the function, not just a conversation history. Another developer or tool should be able to repeat the relevant checks against the same stated requirement.

Separate automated testing, visual review and operational checks. A unit test validating one function does not alone establish that the form is readable or submission uses the correct permissions. For each criterion, select a check able to observe that behaviour and retain the relevant result, including failures. A passing summary should not hide which important conditions were not exercised in the chosen test.

The explanation of aligning AI applications with business objectives helps retain the connection between requirement and indicator. “Code generated” is not the commercial acceptance criterion; an accepted, operable function is. Attribute no speed or quality outcome to a tool without measuring it under the project's conditions. A historical claim from another environment does not establish the outcome here.

What does a checkpoint cover, and what needs separate recovery?

File versioning is not a backup of the entire business

Archived documentation describes checkpoints using a separate Git repository and states that they are not automatically created before commands. Files and categories can also be excluded. Treat this as a historically documented workspace mechanism, not universal restoration of databases, external services or every file accessible in the environment. Its scope must be understood before relying on it for a particular operation.

In the example, distinguish code recovery from reversal of a data migration. If a command sent a message or changed an external system, restoring local files does not undo that effect. The recovery plan names the domain, copy and appropriate procedure. Do not invoke restoration without checking which current work it could replace, including changes made by other people or tools after the recorded state.

The storage-drive photograph illustrates retaining information; it does not certify a backup's existence or quality. For an actual project, a restoration check produces evidence in the selected environment. A declared copy and a tested restoration are different results. Handover documentation should state exactly what was performed and verified, rather than allowing a familiar storage device or snapshot label to stand in for that evidence.

What should be retained when migrating an AI coding workflow?

Process portability matters more than copying settings

Transfer requirements, conventions and tests into a form administered by the project. Separate permanent rules from instructions for one intervention. A validation convention may remain relevant; a session identifier or extension-specific setting has another role. Do not mix secrets into portable workflow documentation. The team should be able to understand the process without exposing credentials or depending on a retired interface.

In the new tool, reassess permissions and data flows, then check a small example in an isolated copy. Do not assume imported configuration preserves the same meaning. Compare terminal permissions, accessible directories and connected services explicitly. Only after checking these should the team determine whether the required process is covered under the agreed conditions. Similar labels are not evidence that all operational boundaries match.

The guide to data protection in AI integrations complements this step. When a provider or tool changes, reassess destinations and access. Do not automatically transfer complete history for visual continuity if it contains unnecessary information or material not permitted in the new configuration. Continuity should preserve the project's decisions without expanding disclosure beyond the task's requirements.

How do we assess costs and maintenance responsibility?

The checked repository uses an Apache 2.0 licence, but a source-code licence is not a maintenance or service-availability contract. Separate model processing, infrastructure, integration, review and upkeep in the budget. Evaluate a fork or alternative independently under its own ownership and terms. This guide does not rank replacements or infer their current capabilities from the status of the original project.

Call count and transmitted context represent only part of the cost. Repeated verification, missing explanations and hard-to-review changes consume team time. Compare solutions across a complete process with the same requirement and criteria, not an attractive code sample or historical commercial claim. Record what the comparison includes so the resulting decision concerns the actual workflow the business needs to operate.

At handover, establish who updates rules, approves access and assesses tool changes. A process tied solely to one extension's preferences loses context when the extension changes. Project-owned rules and tests make responsibility visible and permit assessment elsewhere, with appropriate access and conditions. The goal is not to preserve every old setting, but to retain a controlled function and an understandable maintenance process.

How does WebHat approach AI-assisted development projects?

In software development for business, the deliverable is a verified function rather than the model conversation. Start from requirements and the correct source, make bounded changes and retain test evidence. For existing projects, protect work in progress and distinguish publication from preparing a proposal in a development environment. Each stage has a separate purpose and observable result.

For custom applications with AI integration, design data flows, permissions and approvals as well. A coding tool can support the technical team but does not replace product architecture. Project-owned quality and operating criteria remain applicable regardless of the editor or provider used to prepare a change. The assistant is part of the working method, not the owner of the acceptance decision.

An initial assessment can start with a demonstrative requirement and the current working process. General production access is unnecessary merely to explain an idea. Establish purpose, permitted information and verification first, then the appropriate technical intervention. This article's example performs no installation, modification or publication for a client. It illustrates decisions that should precede and govern an actual implementation.

Frequently asked questions about Roo Code and AI coding controls

Is Roo Code presented here as an active recommended extension?

No. The guide starts with the official shutdown notice and archived repository. Mechanisms are explained in the context of historical documentation. Its purpose is understanding permissions and retaining a checkable process when changing tools, not encouraging a new installation based on an old presentation. Product status and the value of portable project practices are treated separately.

Does available source code mean official maintenance continues?

Source availability, licensing and maintenance are distinct. For a configuration continued by a team or community, check who maintains it and which terms apply. Do not transfer the original product's status to every fork or assume an archive supplies updates or active services. Each chosen component requires its own current assessment and a clearly identified maintenance responsibility.

Does a question-answering mode mean that no external effect is possible?

Assess actual available tools rather than the mode's name. Reading, local editing and connected-service access are different capabilities. A configuration without file editing may have other integrations. Check each integration's permissions, approval and effect before using it in a business process. An interface label does not describe all actions the configured environment can perform.

Is an ignore file the same as a sandbox?

No. Archived documentation describes tool-level access rules with explicit command and scope limitations. Environment isolation and system permissions are separate controls. During migration, do not copy an ignore list and then assume every command or connected service is constrained equivalently. Verify the new configuration's actual boundaries rather than treating matching patterns as complete system-level isolation.

Is a checkpoint enough before publication?

No. Checkpoints and publication serve different purposes. Verify files, tests, data and external effects, then approve the exact version and delivery operation. The historical snapshot mechanism is not universal backup or recovery evidence for every part of the environment. The required recovery plan depends on the operation and the data or systems it can affect.

What should remain regardless of the selected assistant?

Clear requirements, project conventions, bounded access, tests and difference review. The team should administer them in a form usable outside one interface. When changing tools, verify configuration and data flows before continuing, preserving the functional outcome and responsibility for each delivered change. This allows continuity without assuming that old preferences and permissions transfer unchanged.