AI Prompt Engineering for Software Professionals

1. What is Prompt Engineering?

• Definition and importance
• How LLMs work:
• Tokens
• Context window
• Prediction mechanism
• Why prompt quality is more important than model choice
• Real-world impact on developer productivity

Demo:

Weak prompt vs Strong prompt (coding example)

2. Prompt Anatomy

High-Impact Prompt Formula

Role + Task + Context + Constraints + Output Format + Examples

Example

You are a senior Java developer.
Write a Java 8 program to group employees by department using streams.
Output: clean code + explanation.

Key Concepts

• Role prompting
• Context injection
• Constraints (performance, version, security)
• Output control (JSON / code-only / steps)

3. Prompt Types Every Engineer Must Know

• Instruction prompts
• Question prompts
• Comparative prompts
• Step-by-step prompts (chain-of-thought style)
• Few-shot prompting

Exercise:

Rewrite a weak prompt into a production-quality prompt

4. Code Generation Prompts

Use Cases

• Java 8 / Spring Boot
• Python scripts
• SQL queries
• REST APIs

Example Prompt

Write a Spring Boot REST API for user login using JWT.

Include validation, exception handling, and sample request/response.

Best Practices

• Always specify language & version
• Ask for edge cases
• Request time/space complexity

5. Debugging & Error Analysis

Concepts

• Feeding stack traces
• Asking “why”, not just “how”
• Root cause analysis

Prompt Pattern

Here is the code and exception.

Identify root cause, fix it, and explain why it occurred.

6. Refactoring & Optimization

Topics

• Clean code principles
• Performance optimization
• Memory vs time trade-offs

Exercise

Refactor a legacy method into clean and optimized code

7. Prompt Engineering for Testing

Topics

• Unit testing (JUnit 5, Mockito)
• API testing (Postman)
• Automation test planning

Example Prompt

Write JUnit 5 tests for this service.
Cover positive, negative, and edge cases.

8. Documentation & Communication

Use AI to generate:

• README files
• API documentation
• Jira stories
• Technical emails

Example Prompt

Write a Jira story for implementing JWT authentication
with acceptance criteria.

9. System Design Prompting

Concepts

• Role-play as architect
• Breaking systems into components
• Trade-off analysis

Example Prompt

Act as a software architect.
Design a scalable payment system.
Include architecture, DB schema, APIs, and scaling strategy.

10. Advanced Prompt Patterns

• Prompt chaining
• Iterative refinement
• Compare-and-decide prompts
• Output enforcement (JSON, tables)

Example

Give 3 solutions.
Compare pros/cons.
Choose the best for production.

11. Prompt Engineering for DevOps & Data

Topics

• CI/CD pipelines
• Docker & Kubernetes YAML
• SQL optimization
• Data analysis prompts

Example Prompt

Explain this Kubernetes YAML and suggest production improvements.

12. AI Safety, Ethics & Limitations

• Hallucinations
• Security risks
• Code correctness
• When NOT to trust AI