Context Engineering
What you feed the model is the actual lever. Project-level context files, instructions that persist across sessions, and why “the prompt” is the smallest part of the job.
Feature · Issue No. 01 · AI Coding
A workflow workshop — not a tools tour. You’ll learn context engineering, spec engineering, and how to avoid the mistakes developers make when they trust AI output too early. For engineers who want AI to actually ship code with them, not around them.
From a recent cohort
After this workshop I built a real app end-to-end over a weekend — installed Claude Code, set up GitHub & Firebase, rebuilt my program, deployed it. I’m confident I can ship anything with AI tools now.
— Participant, Weekday Cohort / Early 2026
Chapter Two · The Curriculum
What you feed the model is the actual lever. Project-level context files, instructions that persist across sessions, and why “the prompt” is the smallest part of the job.
How to describe what you want so the AI builds something shippable — not something you rewrite afterwards. Writing specs the model can actually execute against.
Zero to deployed application alongside the instructor. Not typing prompts — running a workflow: plan, context, spec, implement, verify, ship. Bring a laptop.
Invented APIs. Hallucinated dependencies. Over-eager refactors. Commits that shouldn’t have happened. The specific traps that burn developers — and how to spot them before they land.
Using AI to test, debug, and review its own output — without trusting it blindly. Workflows for catching bad code before it reaches main.
How to fold this into the way you already work — not as a toy, as a teammate. Setup, habits, and personal tooling that compounds week after week.
Chapter Three · The Catalog
Best if you work full-time on weekdays — longer sessions, fewer days.
For night owls — same Saturday & Sunday, moved to an evening slot.
Learn in the morning, apply at work the same day. Quieter group, less intensive.
The most-picked slot for working devs — after-hours, four-night cohort.
Chapter Four · The Instructor
Instructor · AI & Cloud Specialist
Twenty-three years inside Fortune 500 engineering — building cloud infrastructure, leading AI initiatives, shipping into production under real constraints. I teach what I use, not what the slides say.
RuralBytesTamil was founded in 2023 because Tamil-speaking developers were being left out of the AI conversation. 7,000 cohorts and 30 countries later, it’s still the same bet: the same depth I bring to enterprise work, taught in Tamil, without pulling punches.
Chapter Five · Letters
Your session clarified the basics along with important do’s and don’ts, and was truly an eye-opener into the development side of IT. I’ve already started building solutions for real use cases.
— IT Infrastructure Professional / Early 2026
Your guidance has truly accelerated my understanding of how to integrate AI into real-world development workflows. The workshop was intensive and practical.
— Full Stack Developer / 2025
I can see a huge difference before and after the class on the usage of AI tools for developers. Thank you for all your help.
— Workshop Participant / Earlier batch
Really enjoyed the session. The key takeaways are already valuable in my day job.
— Technical Lead / 2025
Chapter Six · Questions
Basic programming in any language. If you can write a function and use Git, you’re ready. This is not an intro-to-code course — it’s about using AI well alongside existing skills.
Weekend (Apr 18–19) is two longer sessions across Saturday and Sunday. Weekday (Apr 20–24) is five shorter sessions Monday through Friday. Same curriculum, different pacing. Pick by your calendar.
Neither, really. It’s a workflow workshop — the tool is almost beside the point. Hands-on time uses Claude Code, but what you actually learn (context engineering, spec engineering, spotting bad output) transfers to any AI coding assistant you pick up next year.
Yes. VS Code installed beforehand is enough — we’ll configure the AI tooling together in the first session.
Yes. Tamil with English technical terms (tanglish). Industry terminology stays in English so the knowledge transfers directly to your workplace.
A repeatable workflow for shipping code with AI — context files you can apply Monday morning, specs that make AI output review-able, and a nose for when the model is lying to you. Plus a real application you built during the workshop.
Yes. Recordings are shared with attendees and remain accessible for 30 days after the final session. The real value is still being live — questions get answered, you code alongside — but the recordings are there for review.
Chapter Seven · Enrollment closes soon