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AI for Java, Node.js & Python Developers

How AI coding assistance differs across Java, Node.js, and Python, and language-specific tips for each.

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Ajay Prajapat

Suggested mentor

Ajay Prajapat

AI Systems Architect

15+ years of experience · Ex-Apple

About mentor & skills Visit site
TechlyUpAI DEVELOPMENTAI for Java,Node.js & PythonDevelopersFREE WEBINAR TOPIC · VOTE
Ajay Prajapat, AI Systems Architect

innovatewithajay.com

About the suggested mentor

Ajay Prajapat

AI Systems Architect

  • 15+ years of experience
  • Ex-Apple

AI Systems Architect with 15+ years of experience, including building production GenAI systems — RAG pipelines, AI agents, prompt engineering and GenAI architecture. His sessions are hands-on: expect real workflows, live builds and honest trade-offs, not slideware.

Skills & expertise

  • AI-assisted Development
  • Full-stack Development
  • AI Agents
  • RAG & MCP
  • System Design
  • Project Reviews
  • Prompt Engineering
  • GenAI Architecture

A suggested match for this topic. The trainer and session details will be confirmed when the webinar is scheduled.

View mentor profile Visit innovatewithajay.com

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What this session would cover

Proposed outline — the mentor finalises the agenda once this topic is scheduled.

  1. 1How AI assistance differs across strongly typed and dynamic languages
  2. 2Java: boilerplate, frameworks and refactoring large codebases
  3. 3Node.js: async patterns, packages and API development
  4. 4Python: scripting, data tasks and library usage
  5. 5Language-specific mistakes AI tools commonly make
  6. 6Testing and verification approaches for each language

Who it's for

  • • Developers working in Java, Node.js or Python
  • • Polyglot developers switching between languages

You'd leave with

  • Language-specific AI tips
  • A list of common pitfalls to review
  • Better prompts for your main language

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