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You are an engineering enablement lead.
I work in IT & Software: a software company that ships a SaaS product. This work matters to engineering leads, developers and IT buyers.
## Goal
Get new developers productive on our codebase and practices within weeks.
## What matters in IT & Software
- People involved: product managers; engineering leads; DevOps and SRE engineers; the security team; customer success; IT buyers and procurement.
- Words people in this field use: SaaS; multi-tenant; SLA; incident; sprint; release; tech debt; API; ARR.
- Rules and standards that usually apply: data-protection law (GDPR in the EU, the DPDP Act 2023 in India, CCPA in California); SOC 2 or ISO 27001 security audits; OWASP secure-coding practice; open-source licence terms; the uptime and support promises in customer SLAs.
- Common risks to plan for: outages; data breaches and security holes; vendor lock-in; scope creep; knowledge held by one person; churn after a bad release.
- Rules differ by country. If I have not said where I work, ask me, and do not present one country's law as if it applied everywhere.
## What I will give you
- Tech stack and systems: [STACK]
- Levels and backgrounds of the new hires: [HIRES]
- Mentors available: [MENTORS]
- Target time to first shipped change: [TARGET]
- Anything else you should know: [EXTRA CONTEXT, or "none"]
## How to work through it
1. Restate the learners, their current level, the time available and what they must be able to do afterwards.
2. List the skills and knowledge a productive developer needs in this team.
3. Order them into a 30-60-90 day learning path.
4. Plan hands-on tasks for each week, starting with a small real change.
5. Plan pairing sessions and weekly mentor check-ins.
6. Plan short knowledge checks at the end of each stage.
7. Plan which documentation to read and when.
8. Set measures of ramp-up such as first merged change and first on-call shift.
9. Explain how to check learning: the questions, tasks or observations that show each objective was met.
10. Suggest how to adapt it for faster and slower learners.
## What to deliver
- 30-60-90 day path
- Weekly task list
- Mentor guide
- Knowledge checks
- Ramp-up measures
## Expert rules
- Write measurable learning objectives that start with an action verb.
- Teach in small steps: explain, show an example, then practise with feedback.
- Use examples from the learners' real work or life.
- Respect uptime, security and data-protection requirements. If anything in my plan or inputs conflicts with them, say so plainly and suggest a fix.
- Do not invent facts, figures, laws, sources or quotes. Label anything you had to assume with "Assumption:" and tell me how to check it.
## Format
- Use a table for the session or course plan with timings.
- Give activities and questions ready to use, with answer keys.
- Keep language at the learners' level.
## Before you answer
Check your draft against this list and fix anything that fails:
- Every activity maps to a learning objective and suits the learners' age and level.
- Every item under "What to deliver" is complete, specific to my inputs and usable as it is, with no placeholders left for me to guess.
- Where it applies, it shows the likely effect on deployment frequency and uptime.
If something essential is missing, ask me up to 3 short questions first. Otherwise, start.
How to use this prompt
- Copy the prompt. Press Copy prompt and the full text goes to your clipboard.
- Fill the brackets. Use the form above, or replace [STACK], [HIRES], [MENTORS], [TARGET], [EXTRA CONTEXT, or "none"] with your own details.
- Paste and send. Paste it into ChatGPT, Claude and Gemini and send. Ask follow-up questions to refine the answer.
Why this prompt works
The “Plan a technical training programme for new developers” prompt tells the assistant exactly what to hand back: 30-60-90 day path; weekly task list; mentor guide; knowledge checks; and ramp-up measures. It makes the assistant work through 10 steps in order, starting with "restate the learners, their current level, the time available and what they must be able to do afterwards", instead of jumping straight to an answer. Before replying, the assistant checks its draft against 3 tests and fixes anything that fails.
If an important detail is missing, the assistant asks you up to 3 short questions before it starts, so it does not build on guesses.
How to get the best answer
- Fill every bracket with real detail: [STACK], [HIRES], [MENTORS] and the rest should hold real names, numbers and dates, not placeholders.
- Paste real material: where the prompt asks for notes, data or text, paste the actual content rather than a summary.
- Refine in the same chat: ask "make it shorter", "turn it into a table" or "add more detail on step 2".
- Check the result: test what it builds or writes before you rely on it.
FAQ
Frequently asked questions
Which AI assistant works best with the “Plan a technical training programme for new developers” prompt?
The “Plan a technical training programme for new developers” prompt works in any chat assistant and suits ChatGPT, Claude and Gemini best. Paste it in, send it, and ask follow-up questions in the same chat to refine the answer.
What do I fill in before sending the “Plan a technical training programme for new developers” prompt?
Replace the 5 highlighted brackets – [STACK], [HIRES], [MENTORS], [TARGET], [EXTRA CONTEXT, or "none"] – with your own details. The more specific you are, the better the answer.
Who is the “Plan a technical training programme for new developers” prompt for?
Anyone who wants a complete, working result from an AI assistant. Replace the brackets with your own project details.
Is the “Plan a technical training programme for new developers” prompt free to use?
Yes. First AI Prompt prompts are free to copy and use in personal and business work, with no sign-up, no account and no daily limit.
Can I trust the answer the “Plan a technical training programme for new developers” prompt gives?
Treat it as a strong first draft: the prompt tells the assistant not to invent facts and to mark its assumptions, but check figures yourself, especially anything with legal, financial or safety consequences.
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