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Introduces a comprehensive AI strategy for Software Engineering, detailing the adoption and governance of developer-facing AI tools (primarily GitHub Copilot). The document covers principles, objectives, use cases, capability development, governance, security, implementation roadmap, metrics, risk mitigation, and review processes to ensure responsible and secure AI adoption.
Refined language to emphasize platform controls over sandboxes for AI developer tools. Updated "Enabling Platform & Tooling" for consistency, removed redundant lines, and omitted outdated references to annexes and sandboxes. Edits improve clarity and align the strategy with current Copilot adoption practices.
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| - Over-reliance on generated code � enforce mandatory peer review and testing. | ||
| - Data leakage via external services � redact sensitive inputs. | ||
| - IP and licensing uncertainty � provide legal guidance and approval workflows. | ||
| - Uneven adoption � monitor usage and target support to teams lagging behind. |
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Remove odd characters
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| This is a living strategy and will be reviewed annually to reflect technology, policy and operational lessons learned. | ||
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Get rid of these line breaks, the H2 already has line breaks so it just breaks up the document flow
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| This strategy aligns with the UKHO AI strategy and Data Strategy and supports cross-departmental interoperability, auditability and assurance. It complements existing security, accessibility and procurement policies and provides actionable controls for safe developer-facing AI adoption. | ||
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| Refer to the Code Generation Tools Policy for detailed organisational requirements on the use of code generation and AI-assisted development tools: `software-engineering-policies/CodeGenerationTools/CodeGenerationToolsPolicy.md`. |
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Make this a link to the actual policy
| Implementation notes: | ||
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| - Licensing: maintain a licence registry and reconcile seat usage quarterly. | ||
| - Training approach: each team will schedule team-level sessions at a cadence appropriate to their members; cadence will vary according to need. Periodic deep-dive workshops will remain available for cross-team topics. New starters must complete basic Copilot training as part of onboarding. |
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Where is basic Copilot training to be found?
| - 50%+ of engineers have completed basic Copilot training within 6 months. | ||
| - Two case studies demonstrating measurable productivity gains. | ||
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| ### Phase 2: Integrate & Scale (Years 2�3) |
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Another odd character
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Content reads fine, could use some links to where we're doing some of the things we're saying we going to do later.
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Initial draft of Software Engineering's AI Strategy Document