- Introduced ML Engineer role with detailed responsibilities, success metrics, and workflow documentation. - Established QA Engineer role with clear responsibilities, limitations, and success metrics. - Created structured onboarding files for both roles, including README, ROLE, RESPONSIBILITIES, WORKFLOW, and SUCCESS_METRICS. - Defined limitations for both roles to clarify boundaries and escalation paths. - Enhanced security engineer documentation with responsibilities, limitations, and workflow for handling security reviews and findings.
38 lines
1.1 KiB
Markdown
38 lines
1.1 KiB
Markdown
# Backend Engineer — Memory
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This role's own accumulated context: patterns in the codebase you work in, recurring review
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feedback, and past implementation judgment calls along with the reasoning behind them. Not
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automatically shared with other roles — see `../../MEMORY.md` on the two-tier memory system.
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Promote anything company-wide to `../../memory/architecture-memory.md` instead of leaving it
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siloed here.
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## Recurring review feedback
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*None recorded yet.* When the same kind of comment shows up across multiple PRs, record it here
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so it's caught before review next time, not just after.
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## Implementation judgment calls
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*None recorded yet.*
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```
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### YYYY-MM-DD — <short title>
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<the call made, and the situation it responded to>
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**Reasoning:** <why this approach, over the alternatives>
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```
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## Project-specific context
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*None recorded yet.* Notes specific to a project's data model, API conventions, or quirks of
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its existing codebase that aren't obvious from reading the code cold.
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## Format for new entries
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```
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### YYYY-MM-DD — <short title>
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<the observation>
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**Why it matters:** <what this changes about how you implement/review going forward>
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```
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