Vibe Coder Conference 2026
2026-06-25..2026-06-27
-- online --
who it's for
product engineers, software engineers, agent engineers, engineering managers, platform engineers, security engineers, startup founders
topics
agent factory orchestration; private small language models; tokenized agent payments; schema-first data modeling; database drift versioned migrations; CI/CD for AI-generated code; compliance as code (Open Policy Agent); MCP to eliminate RAG silos; AI pipeline for 3D content; AI-powered no-code for enterprise; automated replay QA; AI-assisted documentation and changelogs
| title | author | length |
|---|---|---|
| When Vibe Coding Meets Agent Engineering: The Next Evolution of Software Architecture | John Godel | 33m |
Argues that autonomous agents can produce production-quality systems and demonstrates an "agent factory" where agents message each other, an orchestration… | ||
| The Demo Is Easy. Production Is Hard. | Suvajit Basu | 33m |
Vibe Coding makes prototypes fast but production requires discipline: build a schema-first data model, prevent database drift with versioned migrations, and… | ||
| AI-Powered No-Code for Enterprise Software | Jean Kluschke | 21m |
A repeatable workflow that turns a messy chat answer into verifiable market intelligence: record a short founder interview to create a business DNA… | ||
| Code Is Cheap. Software Isn't | Rodrigo Díaz Concha | 19m |
Claim: LLMs and agents (Claude mentioned) can generate dozens or even thousands of lines of C# in seconds, so code is cheap. Real problems are platform… | ||
| Will AI Replace Coding or Improve It? | Vijay Pratap Singh | 20m |
AI already generates working drafts in seconds using tools like GitHub Copilot, Gemini, Claude, Cursor and Codex, and developers shift from typing to choosing… | ||
| Nobody Pages the LLM: Engineering Rigour for Vibe Coding | Ritesh Modi | 38m |
LLMs generate working prototypes fast but the talk argues that production safety requires documented requirements, architecture, CI branches/PRs, exhaustive… | ||
| The Biggest Mistake Vibe Coders Make Before Launching | Kaila Love | 27m |
Claim: the top barrier is overbuilding/first build fever — builders keep adding features instead of shipping an MVP. Framework: input–transformation–output… | ||
| Ship What You Vibe! The Engineering Distribution Your Product Actually Needs | Puneet Nagpal | 26m |
Claim: building is cheap but being found is the bottleneck — AI collapses engineering time so discovery gap becomes the single biggest failure mode… | ||
| The AI Code Trust Barrier for Enterprises | Mike Carter | 27m |
Argues enterprises mistrust AI code because teams build on LLMs like Claude or OpenAI then validate on the same models, leaving production gaps; shows a… | ||
| Shipping Fast, Breaking Silently: Why AI-Generated Code Needs a Second Opinion | Stephen Gray | 33m |
AI-generated code speeds delivery but hides real risks: Veracode finds LLMs make the wrong security choice in 45% of curated tasks, and repositories see a 10x… | ||
| Vibe Coding vs Corporate Governance: AI Innovation Without Breaking Compliance | Indranila Tsybikova | 30m |
Gartner warns four in ten organizations may be forced to shut down AI agents by 2027 if governance is uniform; empirical studies find ~40% of AI‑generated code… | ||
| Beyond Vibe Coding: Building the Human Readiness Layer for AI-Native Software | Sheena Yap Chan | 25m |
Argues that AI models are rarely the real bottleneck and that adoption fails from poor communication, low trust, slow decisions and people waiting for… | ||
| AI Pipeline for 3D Content: From Idea to 3D Generation | Yauheni Kruk | 27m |
AI pipeline shows a concrete workflow: generate controlled 2D concepts with tools like Midjourney, convert those concepts via Meshify or Tripo into 3D… | ||
| How We Scaled from 25 to 125+ Influencers with AI & No-Code | Shiran Brodie | 23m |
Built an AI-powered no-code influencer portal on Softer in about a week, using a native Postgres-backed database with an AI-generated schema and AI field… | ||
| From iOS to Web in Two Weeks: How AI Coding Is Redefining the Product Engineer | Igor Riazantsev | 21m |
Claims a full iOS AI photo/video generation feature is ported to the web in two weeks using Claude, ChatGPT, Cursor, GitHub Copilot and Windsurf, shipped to… | ||
| Vibe Coding While Live Coding - Lessons to Make AI Coding Safer | Jeffrey T. Fritz | 36m |
Live coding example shows a concrete workflow: use three guardrails — source control with frequent commits, CI (GitHub Actions) gates, and automated tests —… | ||
| SocialSpider AI: Build Your AI Social Media Team | Mahesh Chand | 10m |
SocialSpider claims a 100% live‑coded AI platform that generates posts, images and short videos, connects to LinkedIn and X, and posts in about 5–15 seconds… | ||
| From Three Days to One Minute: Architecture Trade-offs in Production Enterprise AI | Abrar Afzal | 32m |
Claims a production system for E Energy cuts a tariff-validation workflow from 3 days to 1 minute by pairing ML anomaly detection with a retrieval+chunking… | ||
| From "Vibes" to Production: Eliminating RAG Data Silos with MCP | Prakash Tripathi | 34m |
Moves a prototype RAG setup into production by replacing fragile, stale-vector workflows with a live Model Context Protocol server that calls multiple… | ||
| How to Start Vibe Coding with Claude | Rohit Gupta | 28m |
Shows a step-by-step workflow using Learn HackIndia with Claude for planning and Codex for cheap tokens: freeze requirements, give schema, ask Claude to… | ||
| Building an AI-Powered Learning Platform Using AI | Somya Gupta | 24m |
Demo of an actual product called Context shows course creation collapsing from weeks to minutes by ingesting slides, notes and papers and using RAG with… | ||
| Vibe Coding That Actually Works | Akshay Rana | 30m |
Shows concrete wins and failures: quick prototypes use Lovable plus LLMs (ChatGPT, Claude, Codex, Cursor) to ship Chrome extensions like Prompts Saver and Joy… | ||
| Automate Finding & Fixing Bugs with Replay QA | Brian Hackett | 50m |
A demo shows Replay QA taking a URL, running a ~6‑minute exploration with Playwright, auto-generating ~15 user journeys, and filing 21 bugs against an… | ||
| Personal OS: Build Your Army of 100 AI Interns | Rajesh Gupta | 23m |
Claims a workable "Personal OS" that runs an army of 100 AI interns to turn weeks of work into hours by composing many specialized agents (not one general… | ||
| AI Natives: Economy of 1 Billion Humans and 3 Trillion Agents | Mahesh Chand | 19m |
Forecasts one billion AI-native humans by 2030 working with roughly 3 trillion agents, meaning an average of thousands of agents per person, and predicts a… | ||
| Claude Plays Worth Stealing | Claude Code & AI Coding Tips | Bharat Dixit | 24m |
Twelve concrete Claude workflows: build websites without code by submitting plain-text specs and deploying from GitHub; computer control of legacy apps where… | ||
| Vibe Coder Conference 2026 - Day 3 | Ritesh Modi, Rohit Gupta, Kaila Love, Puneet Nagpal, Rodrigo Díaz Concha, John Godel, Vijay Pratap Singh, Jean Kluschke | 05h 46m |
Conference argues AI shifts work from typing to governance and product design, not instant job loss, and gives concrete signals to act on: code reuse cuts… | ||
| Vibe Coder Conference 2026 - Day 2 | Mahesh Chand, Prakash Tripathi, Daisy Mengxuan Zhang, Abrar Afzal, Jeffrey T. Fritz, Igor Riazantse, Shiran Brodie, Yauheni Kruk, Sheena Yap Chan, Indranila Tsybikova, Stephen Gray | 06h 03m |
Day 2 focuses on concrete engineering wins not vague visions: demos show a built a production startup with zero code live and a social media agentic product… | ||
| Vibe Coder Conference 2026 - Day 1 | Mahesh Chand, Bharat Dixit, Anjali Rout, Rajesh Gupta, Brian Hackett, Akshay Rana, Somya Gupta, Mike Carter | 05h 07m |
Practical, tool‑level takeaways: a tested checklist of twelve Claude/Cloud capabilities that turn prompts into deployable results — build websites without… | ||
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