ThinkWithPrompt by SynotticThinkWithPrompt

Plan 90 days of mentoring for a junior engineer

Creates a structured mentoring plan with goals, stretch tasks, review habits, and check-ins that help a junior engineer grow fast.

Leadership & ManagementFew-ShotStandardCodingAnalyzePlanFill-in Template

The prompt

Help me plan how to mentor a junior engineer over the next 90 days. Their background: [EXPERIENCE, LANGUAGES, WHAT THEY'VE SHIPPED SO FAR] Strengths I've noticed: [SPECIFIC EXAMPLES] Growth areas: [e.g. "asks for help too late", "PRs too large", "unfamiliar with testing", "unsure in design discussions"] Their own goals: [WHAT THEY SAID THEY WANT - or "not discussed yet"] My time available: [e.g. "1 hour per week plus code reviews"] Team context: [STACK, UPCOMING PROJECTS THEY COULD JOIN] Build the plan: 1. Goals: 3 concrete, observable goals for 90 days (e.g. "ships a feature end to end with fewer than 2 review rounds"), linked to their growth areas and their own goals. 2. Work assignments: a sequence of real tasks that stretch them gradually, from well-scoped to more ambiguous, with what each one teaches. 3. Rituals: a format for weekly 1:1s, pairing sessions, and how I'll use code review as teaching (explaining the why, asking questions, letting them find the fix). 4. Specific techniques for each growth area, e.g. a "stuck for 30 minutes, then ask" rule, a PR size target, writing a short plan before coding. 5. Check-ins at 30, 60, and 90 days: what to look at and the questions to ask. 6. Pitfalls for me as a mentor: rescuing too fast, rewriting their code, giving vague feedback. Return the plan as a week-by-week overview table plus a first-1:1 agenda to kick it off together.

Highlighted [brackets] are blanks to replace with your own details.

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What to fill in

  • EXPERIENCE, LANGUAGES, WHAT THEY'VE SHIPPED SO FAR
  • SPECIFIC EXAMPLES
  • WHAT THEY SAID THEY WANT - or "not discussed yet"
  • e.g. "1 hour per week plus code reviews"
  • STACK, UPCOMING PROJECTS THEY COULD JOIN

How this prompt is built

This prompt follows the Few-Shot structure (Few-shot prompting). A few-shot prompt includes one or more worked examples of the input and the output you want, so the model can copy the pattern instead of guessing it.

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