It’s Tuesday afternoon. Your backend is solid, your APIs are documented, but the stakeholder demo is in 48 hours and you still need a frontend. Or maybe you’re a PM with a product hypothesis that needs validation before you commit engineering resources. Or you’re a marketer who sketched a campaign microsite on a napkin but can’t translate it into pixels.
Here’s the uncomfortable truth: With AI, speed is easy. Quality isn’t.
This isn’t another fireside chat about AI’s potential. We will walk you through the entire lifecycle - from a vague idea to a production ready application. You’ll understand the methodology that separates demos from deployment quality applications, and leave with a framework you can use when your credibility, reputation and idea itself is at stake.
What You’ll Actually Learn
The workshop walks you through the complete lifecycle using real tools on real projects.
We start with Lovable.dev by building a complete internal dashboard in 30 minutes to understand exactly how far speed can take you and where the cracks appear.
Then we will use the spec driven development, to turn vague ideas into concrete specifications. This is where most people skip steps and end up rewriting everything later.
We will write custom agent.md file for our project to help the coding agent be more accurate, fast and cheap.
Next, we will take the code from lovable and our custom specs and use agentic coding CLI to implement the specifications and ship production grade code.
We will discuss the nuances that help to set up the agent like like you’re supervising a talented junior developer who needs guidance.
The real value isn’t in the individual tools, it’s understanding when to use which one and how they connect into a complete workflow from validation to specification to implementation to polish to deployment.
Who is this workshop for
This workshop is particularly valuable for people in mid-to-senior positions who understand that career advancement isn’t just about technical depth, it’s about velocity and visibility.
Backend developers who can architect beautiful APIs but dread frontend work will find a legitimate path to building UIs without becoming CSS experts.
Frontend developers who need to prototype backends quickly for client demos or internal tools will learn how to spec and generate server logic without drowning in documentation.
Product managers and executives who need to validate ideas with stakeholders before committing development resources can learn to build convincing prototypes that show the vision, then understand what it actually takes to make them real.
Strategy consultants and ideas people who constantly pitch concepts will finally be able to show working demos instead of just slides.
Marketers and growth teams who are tired of waiting in the engineering backlog for landing pages and campaign microsites can start building and shipping on their own timeline.
If you’re someone who feels you should be moving faster, influencing more, or operating at a higher level but find yourself bottlenecked by execution, this methodology changes that equation.
You won’t become a full-stack engineer overnight, but you’ll gain the capability to prototype rapidly and understand exactly what it takes to ship, which is often enough to shift how people perceive your contributions and how you perceive your own capabilities.
The Journey
This is an intensive workshop. Some sections are hands-on, others are live demonstrations with detailed explanations. The goal isn’t for you to code every line, it’s for you to understand the complete methodology so you can apply it to your own projects immediately.
The cohort who understands this methodology will build differently than everyone else. The question is whether you’ll be part of that group or still trying to figure it out six months from now.
What to Bring
- Laptops are not needed for the session.
- Basic understanding of programming concepts
- Your curiosity and questions about AI integration
Registration
Bonus
Participants attending the event will get 4M complimentary tokens which will work across frontier models like Claude Opus 4.1, Claude Sonnet 4.5, GPT 5, GPT 5 Codex and GLM 4.6.
Contact
For any questions, please email us at hello@kinesislabs.in