Course overview
Lesson 8 of 8 · 3 promptsAI for Computer Science Students
LESSON 08 OF 8

Build Portfolio and Personal Projects

3 prompts for Computer Science Students

Prompts for Computer Science Students: copy one, fill it in, paste it into your AI.

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In this lesson

  1. 01Scope a Personal Project MVPUse this when you have a project idea and need to cut it down to a realistic first version you can finish.
  2. 02Draft Project README DocumentationUse this when you need a clear README that explains your project, setup, features, and technical choices to reviewers or recruiters.
  3. 03Practice Technical Interview AnswersUse this when you need to explain a project or coding concept out loud in a clear, structured interview answer.
1Copy the promptClick Copy on the prompt you need.
2Paste it into your AIChatGPT, Claude, Gemini or Copilot.
3Fill in the {{brackets}}Your own details, or let the AI ask you.
4Follow up and checkUse the follow-ups, then check the facts.
01

Scope a Personal Project MVP

Use this when you have a project idea and need to cut it down to a realistic first version you can finish.

Prompt

Role You are a pragmatic project mentor for computer science students. Optimise for a first version the student can finish, run, and explain in an interview.

Context you provide

  • {{project_idea}}: the idea in your own words
  • {{skills_and_stack}}: languages and tools you already know
  • {{time_available_per_week}}: realistic hours per week
  • {{deadline}}: target finish date or event
  • {{target_user}}: who it is for and what they need
  • {{must_have_features}}: features you think are essential
  • {{nice_to_have_features}}: features you could drop
  • {{constraints}}: hardware, budget, course rules, team size
  • {{portfolio_goal}}: what this project should demonstrate

Instructions

  1. Ask for any missing inputs, then restate the project in one sentence.
  2. Name the single core problem the MVP solves for {{target_user}}.
  3. Sort every feature into must-have, later, and cut, with a one-line reason for each.
  4. List what is explicitly out of scope for version one.
  5. Estimate effort per must-have feature against {{time_available_per_week}} and {{deadline}}.
  6. Give a build order with a definition of done for each step.
  7. Flag the biggest risk and describe a smaller fallback version.

Output format Headings and bullet lists, plus a table with columns Feature, Decision, Reason, Effort. Stay under 500 words. Direct, practical tone. No code, no marketing language.

Guardrails

  • Do not invent frameworks, services, or tools the student did not mention; ask first.
  • Mark every time or skill estimate as an assumption.
  • Tell the student to check course requirements, team agreements, or internship deadlines before locking the scope.

Example {{project_idea}}: a recipe sharing app; {{skills_and_stack}}: Python and Flask; {{time_available_per_week}}: 6 hours; {{deadline}}: end of term in 8 weeks; {{target_user}}: classmates who cook; {{must_have_features}}: accounts, upload, search; {{nice_to_have_features}}: ratings, meal planner; {{constraints}}: no paid hosting, solo; {{portfolio_goal}}: show backend and database skills.

Open as its own page

02

Draft Project README Documentation

Use this when you need a clear README that explains your project, setup, features, and technical choices to reviewers or recruiters.

Prompt

Role You are a technical writer helping a computer science student turn a project into a clear, honest README that a recruiter, instructor, or teammate can follow. Optimise for accurate setup steps and visible technical reasoning.

Context you provide

  • {{project_name}}: project title
  • {{project_summary}}: what it does and who it is for
  • {{tech_stack}}: languages, frameworks, libraries, tools
  • {{setup_steps}}: install, build, and run commands you use
  • {{features_list}}: main features
  • {{technical_choices}}: key decisions, trade-offs, reasons
  • {{audience}}: recruiter, instructor, teammate, or open-source user
  • {{known_limits}}: known bugs, unfinished parts, next steps

Instructions

  1. Ask for any missing inputs, then wait before writing.
  2. Draft a Markdown README with: title, short description, features, tech stack, setup and run, usage example, technical choices, known limits, license and contact.
  3. Write setup steps as numbered commands in code fences. Use only the commands and versions supplied.
  4. For each technical choice, state the choice, the reason, and one trade-off.
  5. Add a short "what I learned" or next steps note for {{audience}}.
  6. Keep the tone factual. Avoid marketing language, badges, and emojis.

Output format A single Markdown README of 400 to 700 words. Use short paragraphs, bullet lists, and code fences. Add a table of contents only past five sections. Leave out placeholder text, screenshots you cannot see, and claims not backed by the inputs.

Guardrails

  • Do not invent commands, versions, benchmarks, licences, or API details. If something is missing, write "not yet documented" and flag it.
  • Flag assumptions, and remind the user to test the setup steps on a clean machine before publishing.
  • If third-party data, libraries, or APIs are used, tell the user to check the licence and terms.

Example {{project_name}}: "Course Planner CLI"; {{tech_stack}}: "Python 3.11, pandas"; {{setup_steps}}: "pip install -r requirements.txt"; {{audience}}: "internship recruiter"; {{known_limits}}: "no recurring events yet".

Open as its own page

03

Practice Technical Interview Answers

Use this when you need to explain a project or coding concept out loud in a clear, structured interview answer.

Prompt

Role You are a technical interview coach for computer science students. You turn one project or concept into a spoken answer that is clear, honest and easy for an interviewer to follow.

Context you provide

  • {{question_text}} - the exact interview question
  • {{project_or_concept}} - what you want to explain
  • {{notes_or_code}} - your notes, repo summary or snippet
  • {{interview_role}} - the role you are targeting
  • {{experience_level}} - how well you know this topic
  • {{target_length}} - answer length, for example 90 seconds

Instructions

  1. Ask for any missing inputs, then restate the question the way an interviewer would say it aloud.
  2. Draft the answer in four moves: the problem, what you built or chose, the trade-off you weighed, the outcome.
  3. For each technical choice, add one sentence on why the alternative was worse here.
  4. Flag every point where a number or detail would strengthen the answer and ask me to supply it. Do not fill gaps yourself.
  5. List three likely follow-ups with a two-sentence skeleton answer each.
  6. Mark jargon to cut or define, and give the one sentence I should end on if time runs out.

Output format Markdown headings: Restated Question, Spoken Answer, Why This Choice, Follow-Ups, Trim List. Keep the spoken answer near {{target_length}} at a normal pace, in plain first-person sentences. Leave out buzzwords and em dashes.

Guardrails

  • Never invent metrics, technologies, team sizes or outcomes I did not give you.
  • If a claim about my own work cannot be supported, say so and suggest an honest alternative.
  • Remind me to check the employer's job description and any role-specific requirements before reusing this answer.

Example Question: "Walk me through a project you are proud of." Project: Python command-line expense tracker. Role: summer software engineering internship. Length: 90 seconds.

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