AI-Assisted Code Completion for Government Developers
Employment & Work
What it collects
- Internal code written by GC employees, used as context for generating autocomplete suggestions and code fixes. No personal information is present in this data.
- Run by
- Canada School of Public Service (CSPS)
- Where
- No fixed location
- Kept
- Not stated by the Helpful Places.
- Shared with
- Accountable organization
What it is for
Codeium is an AI coding assistant deployed by the Canada School of Public Service that autocompletes code, suggests fixes, and generates boilerplate for Government of Canada software developers. The system is trained on open-source code repositories and operates on internal code written by GC employees. No personal information is collected or processed, and users are informed that AI is in use.
What it collects and what happens to it
Data taken in
- Internal code written by GC employees, used as context for generating autocomplete suggestions and code fixes. No personal information is present in this data.
Processing
- Context-aware AI model trained on open-source code repositories, used to autocomplete code, suggest fixes, and generate boilerplate in response to developer input.
What it does
- Generates boilerplate code and suggests code completions or fixes. All generated suggestions are reviewed and accepted or rejected by the developer before being applied.
- Understands the context of the code being written to provide relevant autocomplete suggestions and fixes, drawing on surrounding code and open-source training data.
Outputs
- Code completions, suggested fixes, and boilerplate code snippets generated by the AI and presented to the developer for review. Output does not reference or contain personal information.
Run by
- The Canada School of Public Service is the federal department responsible for deploying and overseeing Codeium for GC software developers.
Built by
- Windsurf is the vendor that builds and supplies the Codeium AI coding assistant licensed to the Canada School of Public Service.
Kept for
Not stated by the Helpful Places.
Shared with
- Output data (code suggestions) is available to the developer and the deploying organization. The system does not involve personal information, so access controls are primarily focused on the internal code used as input context.
Stored
Not stated by the Helpful Places.
How to read the colours
Can it identify you?
- Anonymized data
- Data about people with the link to who is broken. Stripped of identifiers, blurred, aggregated, or noised so this system can’t reasonably tie a record back to an individual.
- Pseudonymous data
- Each person’s data is tied to a token (hash, ID, template) that lets this system recognise the same person across events, but the token itself doesn’t reveal a name. Reidentification is possible with extra information.
- Identifiable data
- The data either contains a direct identifier (name, address, account name, recognisable face or voice, plate number) or carries a token this system uses to look up legal identity during processing.
Who completes the loop?
- Human decides
- This mode suggests; a person decides what to do next. The AI is always advisory — a human is in the loop on every decision. Example: a triage tool ranks cases for a clinician who chooses which to see first.
- Human executes
- This mode decides; a person carries out the result. Example: an optimizer plans the day’s trash-collection routes, and drivers run them.
- Autonomous
- This mode decides and acts on its own. No person reviews each decision or carries out the resulting action.
Definitions from the DTPR standard. Amber is about your data, violet about who decides. The fuller the shape and the deeper the colour, the more identifying the data or the less a person is involved.
- AI registerGovernment of Canada Algorithmic Impact Assessment Register — Codeium (2526-CSPS-EFPC-001)Canada School of Public Service, AI Register ID 2526-CSPS-EFPC-001.
- AI registerGovernment of Canada AI Register — Codeium
- AI registerGovernment of Canada AI Register — Codeium
- Register entryPublished by the Helpful Places. Reference 4e82faeb. This disclosure was drafted with AI assistance.Schema: ai@2026-05-06-beta
What you can do
Ask about this system
Questions go to the Helpful Places, not the vendor.
Your rights
- Right to Be Informed of AI UseGC employees using this tool are informed that AI is in use. The AI Register entry confirms that AI use is disclosed to users.
- Right to Algorithmic TransparencyThe Canada School of Public Service has published information about Codeium in the Government of Canada AI Register, describing the system's capabilities and data sources. Users may consult the register for further information.
Risks and safeguards
- Reputational harmThe system may suggest incorrect or insecure code that, if accepted without review, could introduce vulnerabilities or errors into government software.Safeguard: All suggestions require explicit developer acceptance; developers are informed that AI is in use so they apply appropriate scrutiny.