AI tools that write code for you.
A workflow workshop, not a tools tour. You'll learn context engineering, spec engineering, and how to avoid the mistakes that make AI coding tools ship broken code — then build and debug a real app, live.
- Who it’s for
- Developers with basic programming — any language
- Format
- Self-paced recording · 6 modules · ~12 hrs
- Language
- Tamil, English tech terms
- Access
- Instant · 30 days
- Price
- Local currency at checkout
From syntax to intent.
Software engineering is moving from writing syntax — the how — to expressing intent — the what. AI agents now handle implementation; humans focus on direction, specification, and verification. This isn't a tooling tweak — it restructures the entire development lifecycle, and rewrites what makes an engineer valuable.
Intent lives on a spectrum
From casual vibe coding — prompt, generate, "seems to work" — to disciplined agentic engineering: specs, context engineering, eval suites, guardrails. The danger zone is learning only the casual end and shipping hidden technical debt into production.
The bottleneck moved
No longer waiting on human hands to type — now waiting on human minds to define boundaries. Tests and specifications become the new language of intent. The constraint isn't generation speed; it's the clarity of what you ask for.
The role splits
Into the Conductor — real-time, in-IDE, fine-grained guidance — and the Orchestrator, who defines goals, delegates to background agents, and reviews output. Generation is solved; verification and judgment are the new craft.
What you'll actually learn.
Six modules, about 12 hours total.
Context Engineering
What you feed the model is the actual lever — project-level context files and instructions that persist across sessions. "The prompt" is the smallest part of the job.
Spec Engineering
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.
The Workflow, Live
Zero to a deployed application, built alongside the instructor. Not typing prompts — running a full workflow: plan, context, spec, implement, verify, ship.
The Common Mistakes
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.
Verification & Review
Using AI to test, debug, and review its own output — without trusting it blindly. Workflows for catching bad code before it reaches main.
Your Daily Workflow
How to fold this into the way you already work — not as a toy, as a teammate. Setup, habits, and tooling that compounds week after week.
How it runs.
- Instructor
- Syed Shahul Hameed
- Format
- Live cohort on Zoom
- Language
- Tamil with English technical terms
- Cohort
- Capped batch size
- Recording
- Access for 30 days after
- Pricing
- Paid cohort — price shown in your local currency at checkout
A practitioner, not a lecturer.
Twenty-plus years inside Fortune 100 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+ learners across 30 countries later, it’s still the same bet: the same depth I bring to enterprise work, taught in Tamil, without pulling punches.
What participants say.
“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
“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
Before you enroll.
What coding experience do I need?
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.
What’s the difference between Weekend and Weekday formats?
Weekend is two longer sessions across Saturday and Sunday. Weekday is five shorter sessions Monday through Friday. Same curriculum, different pacing — pick by your calendar. Specific dates for the next session will be announced soon.
Is this a Claude Code training? A Cursor training?
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.
Do I need a laptop?
Yes. VS Code installed beforehand is enough — we’ll configure the AI tooling together in the first session.
Is the session in Tamil?
Yes. Tamil with English technical terms (tanglish). Industry terminology stays in English so the knowledge transfers directly to your workplace.
What will I actually walk away with?
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.
Are recordings available?
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.
Missed the live cohort? Get the recording.
Get instant access to the full masterclass recording — context engineering, spec engineering, and the complete workflow walkthrough.
Get the self-paced recording