What if you had a personal tutor available 24/7 to explain concepts, write examples, debug your errors, and even brainstorm solutions with you? That's no longer a futuristic dream—it's today's reality with AI tools like ChatGPT and Claude Code.
I've used ChatGPT and Claude Code as my copilot to build everything from automation scripts and web applications to full AI-augmented workflows. It has helped me generate, understand, and refine code across multiple languages—Python, JavaScript, C#, Business Central AL, and C++—making it one of the most versatile tools in my developer toolkit.
One way to conceptualize this technology is as a pair programmer—a virtual coding partner that never tires. This isn't about automating the developer away; it's about augmenting their capabilities.
How AI Is Reshaping the Coding Workflow
Beyond just writing lines of code, AI is transforming the entire development lifecycle through intelligent code completion, real-time bug detection, and personalized learning. Specifically, tools like Claude Code bring several key capabilities to your keyboard:
- Demystifying Complexity: Explain intricate programming concepts in simple, digestible terms.
- From Idea to Code: Generate functional code snippets based on plain English descriptions.
- Testing, Made Easier: Create unit tests and end-to-end test cases to ensure robustness.
- Debugging Partner: Help identify errors, troubleshoot issues, and suggest fixes.
- Documentation Helper: Automatically comment and document existing code for clarity.
- Code Quality Assistant: Refactor code for efficiency and adhere to best practices.
- Best Practices Guide: Offer recommendations for optimization, security, and design patterns.
- CI/CD Support: Assist in setting up and maintaining continuous integration and deployment pipelines.
- Instant Knowledge Base: Answer questions about languages, frameworks, and libraries in real-time.
Bringing It All Together: A LISP Notebook Application
A Scheme-like LISP interpreter with a Jupyter-style notebook UI, built entirely with vanilla JS (no dependencies).
User
PROMPT
1I would like to create a web page LISP Interpreter. Do you have any questions?
I would like to create a web page LISP Interpreter. Do you have any questions?
Scheme-like?
Notebook style?
Vanilla HTML/CSS/JS?
Standard library?
Allow grep?
Scheme LISP interpreter JavaScript implementation archtecture 2025?
Allow fetching this url?
https://www.chidiwilliams.com/posts/how-to-write-a-lisp-interpreter-in-javascript
A quick introduction to Scheme
The basic architecture of the interpreter
Claude's Plan
Interpreter Architecture
Implemenation Order
Verification Plan
mkdir?
Open index.html
Open with Live Server
LISP Notebook
Run
Created factorial example
Tested error handling
User
PROMPT
1How can we add unit tests and integration tests?
Allow this bash command?
Modify source files?
Full coverage?
Yes, and auto-accept
Edit types.js
continue
npm test
test commands
User
PROMPT
1/init
/init
Commit CLAUDE.md
User
PROMPT
1How do I ensure that this code is deployed to Azure everytime it is pushed to github (assuming that the tests pass)?
How do I ensure that this code is deployed to Azure
Option 1: Azure Static Web Apps (Recommended)
mkdir .github/workflows
azure-static-web-apps.yml (replaced later)
next steps
portal.azure.com Create a resource
Static Web App
Create a new Resource Group
Free plan. Source GitHub
Build Details
Create
Your deployment is complete
Open Link in New Tab
Congratulations on your new site!
GitHub Action
Azure Secret added to GitHub repository
Header Text color --accent
PROMPT
1update --accent and --accent-hover colors to be brighter
css updated. change pushed
GitHub Action. Tests passes. App Deployed
Deploy Job successfuk
--accent color updated
App running