This is where I spent the most time and honestly probably over-indexed on maintainability stuff early on when I should've led with correctness and security.
Start by acknowledging the code works but needs improvement, then systematically review it across the five dimensions, prioritizing correctness and security first. For each issue, explain the impact and suggest a concrete fix, tying it back to Disney's scale and user expectations.
Pro tip: Frame your review as a collaborative mentoring opportunity, not a criticism of the junior engineer. Suggest automated tools like ESLint, TypeScript strict mode, and accessibility linters to catch issues early and scale code quality.
Identify bugs, race conditions, incorrect state management, and TypeScript type errors that could cause runtime failures or data corruption.
Check for XSS vulnerabilities, unsafe use of dangerouslySetInnerHTML, insecure API calls, and improper handling of user input or secrets.
Look for unnecessary re-renders, missing memoization, large bundle sizes, and inefficient data fetching that could degrade user experience.
Ensure semantic HTML, ARIA attributes, keyboard navigation, and screen reader support, especially critical for Disney's diverse audience.
Assess code readability, modularity, test coverage, and adherence to team conventions to reduce future technical debt.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
I talked about asking questions instead of prescribing fixes, like 'what was the thinking here' before jumping to 'you should do X instead.' The interviewer seemed to like that framing.
Emphasize that effective feedback is a two-way learning conversation, not a critique. Describe how you would frame feedback around specific behaviors, impact, and collaborative problem-solving, while inviting the junior engineer's perspective and ownership. Highlight the importance of psychological safety and growth mindset to ensure the feedback is actionable and developmental.
Pro tip: Use the 'SBI' (Situation-Behavior-Impact) model to structure feedback, and always pair it with a question like 'What are your thoughts on how we could approach this differently next time?' to turn it into a coaching moment.
Start by affirming your shared goal of delivering high-quality work and growing skills. Frame the conversation as a joint problem-solving session, not a performance review.
Use concrete examples of the junior engineer's work, focusing on behaviors and outcomes rather than personal traits. Avoid vague or judgmental language.
Clearly articulate how the observed behavior affected the team, project, or product. Connect it to broader goals to show relevance.
Ask open-ended questions to encourage the junior engineer to analyze the situation and propose alternatives. Listen actively and validate their input.
Collaboratively define actionable improvements and offer support, such as pairing or resources. Schedule a follow-up to review progress.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Went through separating API call logic from the component, moving state into a custom hook, adding proper TypeScript interfaces for the response shape, and renaming vague variables.
Start by clarifying the component's current responsibilities and pain points, then propose refactors that align with the team's conventions and business goals. Prioritize high-impact, low-risk changes and explain trade-offs, focusing on maintainability, testability, and scalability.
Pro tip: Frame refactors as incremental improvements with measurable outcomes (e.g., reduced bugs, faster onboarding) rather than a rewrite, and mention how you'd validate changes with tests and metrics.
Ask about the component's purpose, current issues, and constraints (e.g., legacy code, performance). This ensures your suggestions are relevant and prioritized.
Identify mixed responsibilities (e.g., UI, logic, data fetching) and propose splitting into smaller, focused components or hooks. Suggest a clear folder structure and boundaries.
Recommend lifting state, using context or state libraries where appropriate, and avoiding prop drilling. Discuss local vs. global state and derived state.
Propose descriptive names, consistent conventions, and strong typing (e.g., TypeScript interfaces). Add error boundaries, fallback UIs, and logging for resilience.
Sequence refactors by impact and risk, suggest incremental PRs, and define success metrics (e.g., test coverage, performance). Mention collaboration with the team.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Blanked a little on the e2e layer specifics.
Start by clarifying the component's purpose, interfaces, and critical user journeys, then map tests to the test pyramid: unit tests for isolated logic, integration tests for contracts and data flow, and end-to-end tests for critical user paths. Prioritize tests based on risk and business impact, and explain how you would measure coverage and maintainability.
Pro tip: Tie your test strategy to Disney's scale and reliability needs—mention how you'd use contract testing and canary releases to catch integration issues early without slowing down deployments.
Ask questions to understand the component's responsibilities, dependencies, and failure modes. Identify what could break and the impact on users or business.
List specific behaviors: unit tests for pure functions and edge cases, integration tests for API contracts and data persistence, and end-to-end tests for critical user workflows.
Explain how you'd prioritize tests based on risk, frequency of change, and cost of failure. Mention metrics like code coverage, mutation testing, and flaky test detection.
Name specific tools (e.g., JUnit, Jest, Testcontainers, Cypress, Postman) and how they fit into CI/CD pipelines. Discuss test data management and environment parity.
Talk about keeping tests fast, reliable, and maintainable. Mention strategies like test doubles, contract testing, and parallelization to handle scale.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.
Talked about pairing on the refactor, pointing them to internal docs or style guides, and flagging patterns for the broader team if it's a recurring thing.
Emphasize that follow-up is a structured, ongoing process, not a one-time conversation. Describe how you would set clear, measurable expectations, provide resources, and schedule check-ins to reinforce the feedback and track progress. Highlight the importance of adapting your approach based on the junior engineer's response and fostering a supportive learning environment.
Pro tip: Frame follow-up as a collaborative growth opportunity rather than a punitive measure; this builds trust and increases the likelihood of lasting improvement. Additionally, document the agreed-upon actions and outcomes to ensure accountability and continuity.
Summarize the key feedback points and co-create specific, measurable action items with the junior engineer. Document these in a shared space (e.g., a doc or ticket) to ensure mutual understanding and accountability.
Set up short, recurring check-ins (e.g., weekly 15-minute syncs) to discuss progress, address blockers, and provide ongoing guidance. These check-ins should be supportive and focused on learning.
Offer targeted resources such as code examples, pair programming sessions, or recommended readings. Tailor support to the engineer's learning style and the specific issues identified.
Monitor the engineer's work (e.g., through code reviews) and give timely, specific feedback. Reinforce improvements and gently correct any recurrence of the issue.
After a set period (e.g., 4-6 weeks), review progress against the action items. If the issue persists, escalate to a broader development plan; if resolved, acknowledge the growth and discuss next steps.
AI-generated suggestions, not part of the candidate's original notes. May be inaccurate — verify before relying on them.