If you had asked me back in early 2024 what my AI plan was, I would have told you I didn't have one. Like most developers, I was just bouncing between random browser tabs, playing around with free versions, and seeing what worked for my code.

Over the last few years, that casual curiosity has turned into an intentional, highly strategic coding ecosystem. Instead of a basic look back, I am treating this post as a live diary of my stack, my training, and how I am actively navigating AI web development—ordered from my early days right up to what I am building today.

The Evolving Log

📍 November 2022 — The Spark

The landscape shifted overnight. This was the exact moment ChatGPT officially launched to the public, igniting the global AI conversation and planting the first seeds of curiosity for developers everywhere about what the future of coding might look like.

📍 2023 — The Missed Hype & Career Pivot

A bit of a quiet period for my tech stack, but a massive one for my personal timeline. This was the year I officially quit my job, accidentally sitting out the initial, explosive "hype year" of consumer AI tools while I refocused my path and figured out my next steps.

📍 2024 — Building the Foundation

Instead of blindly guessing my way through these new tools, I started getting structured. I used free access paths to pick up core frameworks and establish clear workflows for my daily dev tasks.

• The Free Tier Split: I began separating my free tools to stay organized. Google Gemini became my main playground for personal coding projects and blogging, while ChatGPT was my dedicated "work buddy" for parsing text data and quick debugging loops.
  Open Google Gemini Open ChatGPT
• Google AI Essentials: Taking this structured course gave me my first real look at core prompt engineering and everyday developer productivity hacks. Open Google AI Essentials

📍 2025 — Upgrading to Premium & Workflow Automation

Ready to speed up my front-end and back-end building, I moved past basic chat interfaces and made my first commercial commitments to premium developer tools.

• Hatch AI Bootcamp: I dived into Hatch Singapore's free community literacy program. This training pushed me past simple text prompting to teach me how to automate repetitive code documentation, build custom workflows, and handle data safety properly. Open Hatch Academy
• GitHub Copilot Pro: I stepped into premium developer environments, starting with a trial before officially committing to a monthly subscription for integrated IDE support right inside my code editor. Open GitHub Copilot

📍 2026 (Current Stack) — The Age of Agents & Complete Orchestration

Everything shifts to autonomous development. I am moving away from single-prompt completions to running fully agentic workflows, completely transforming how I handle complex codebases.

• AIxTech by AI Singapore & The Power Tier Pivot: I completed the flagship AIxTech Programme by AISG and IMDA, where I learned how to move past basic chat prompts and manage a coordinated team of AI "sub-agents" to build code. Now that I have finished the course, I have graduated to premium plans to handle high-volume coding. I use ChatGPT Power and Claude Power as primary coding safety nets, seamlessly stepping in to map out multi-file code architectures when my day-to-day GitHub Copilot agent limits run dry.
  Open AI Singapore AIxTech Open Anthropic Claude
• OpenAI Build Week — My First Hackathon: One of the biggest milestones in my AI journey was participating in OpenAI Build Week, which also happened to be my first-ever hackathon. During the event, I built DispatchAI, an AI Operations Agent that converts natural-language WhatsApp booking conversations into structured booking drafts for human review. Beyond learning the OpenAI API, the experience taught me how to design AI-first workflows, orchestrate multiple AI tasks, build production-ready features under time constraints, and document, demo, and ship a complete application from idea to submission.
  Open OpenAI Open Devpost
• Looking Ahead — August Learning Sprint: After completing AIxTech and participating in OpenAI Build Week, I plan to continue deepening my AI engineering skills through hands-on learning paths. I have started attending the pre-workshop sessions for the AI Dev Tools Zoomcamp by DataTalks.Club to gain practical experience with modern coding assistants, AI agents, developer workflows, and automation, helping me transition into a more capable AI-augmented developer.
  Open AI Dev Tools Zoomcamp Open Developer Roadmap - AI Engineer

My Learning Roadmap

A summary of the structured training, hackathons, and professional upskilling programmes that have shaped—and continue to shape—my AI development journey.

Where the Stack Stands Today

My current daily pipeline is entirely about matching specific model strengths to my available resource caps and credit limits. The biggest change in 2026 wasn't simply using better AI tools—it was confidently building complete AI-powered applications. Participating in OpenAI Build Week reinforced that the skills I'd been developing through courses and daily practice could be applied to deliver a real product under pressure, making AI development an essential part of my workflow rather than just a productivity aid.