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| Task | AI Assistance |
|---|---|
| Requirements clarification | Convert vague user input into structured specs |
| User stories & use cases | Generate user stories from project goals |
| Project estimation | Assist in time/resource estimation via similar past data |
| Change impact analysis | Predict how feature updates affect other modules |
Prompt Example:
“Turn this feature description into a list of user stories in Agile format.”
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| Task | AI Assistance |
|---|---|
| System architecture drafts | Suggest architecture diagrams and patterns |
| Design pattern advice | Recommend suitable patterns (MVC, Singleton, etc.) |
| Database schema generation | Create ER diagrams or table schemas from descriptions |
Prompt Example:
“Design a scalable architecture for a SaaS app with user roles, billing, and file uploads.”
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| Task | AI Assistance |
|---|---|
| Code generation | Write boilerplate or complex logic from prompts |
| Code refactoring | Simplify, optimize, or modularize code |
| Code suggestions | Autocomplete and intelligent suggestions |
| Test case generation | Generate unit, integration, and edge case tests |
| Language translation | Convert code between languages (e.g., Python → JavaScript) |
Prompt Example:
“Write a Python function to validate email addresses and return formatted output.”
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| Task | AI Assistance |
|---|---|
| Test generation | Write unit tests using frameworks like Jest, PyTest, etc. |
| Bug detection | Spot logical errors and suggest fixes |
| Intelligent debugging | Explain why a piece of code may fail |
| Regression test coverage | Suggest missing test cases based on recent code changes |
Prompt Example:
“This test is failing: test_user_login_invalid_credentials. Can you help debug?”
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| Task | AI Assistance |
|---|---|
| Commit message generation | Summarize changes in human-readable form |
| Auto-documentation | Generate docstrings, README.md, and inline comments |
| Changelog creation | Summarize updates between versions |
Prompt Example:
“Write a concise and clear commit message for this function refactor.”
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| Task | AI Assistance |
|---|---|
| CI/CD pipeline scripts | Generate GitHub Actions, Jenkins, or GitLab CI configs |
| Dockerfile & Kubernetes | Auto-generate deployment scripts |
| Infrastructure as Code | Help write Terraform or Ansible scripts |
Prompt Example:
“Generate a GitHub Actions YAML file to build and test a Node.js app on push.”
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| Task | AI Assistance |
|---|---|
| Log analysis | Interpret log files and detect anomalies |
| Error handling | Suggest graceful fallbacks and alerts |
| Auto-remediation | Propose scripts to fix known errors automatically |
Prompt Example:
“What’s the likely cause of this error in my CloudWatch logs?”
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| Tool Type | Examples | What It Does |
|---|---|---|
| Code Assistants | ChatGPT, GitHub Copilot | Real-time suggestions, code writing, debugging |
| Static Analyzers | DeepCode, SonarQube | AI-based code quality and vulnerability checks |
| Test Generators | Diffblue, Testim | Auto-generate test cases |
| DevOps AI | Harness, AWS CodeGuru | Optimize deployment, monitor system health |
| Documentation Tools | Mintlify, DocuWriter | Auto-generate docs from codebases |
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| Concern | Mitigation |
|---|---|
| Hallucinated or insecure code | Always review AI outputs and run tests |
| Lack of contextual memory | Break tasks into context-specific prompts |
| Over-reliance | Treat AI as a co-pilot, not a replacement |
| Data privacy | Avoid pasting sensitive code into public tools; use local/private GPT-4 deployments for proprietary work |
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