Use Cases · DevelopersB.Tech CS / IT studentsBackend & fullstack devsCompetitive programmersFreelance developersSystem design interview prepData engineers & analysts

Write it. Run it. Ship it — from a browser tab.

Multi-model AI chat with a live sandboxed execution environment. Claude Sonnet 4.6 (SWE-bench leader, 76.8%) alongside DeepSeek, GPT-5, Gemini 3.1 Pro, and 36 others. Pay ₹69 on the days you're actually building.

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85%

of developers regularly use AI tools for coding in 2026

76.8%

SWE-bench score — Claude Sonnet 4.6, the coding leader

40%

productivity gain reported by developers using AI coding tools

Sound familiar?

You're debugging a Django REST API at 2am. The error trace is 40 lines long. You paste it into Claude, get a fix, paste the fix back into your terminal, get a different error, paste that back. The copy-paste loop breaks your flow. What you need is an AI that writes the code AND runs it — so you see the actual output, not a suggestion you still have to test.

The specific problems

  • 01The copy-paste-debug loop kills productivity. AI suggests code, you paste it, get an error, paste the error back, repeat. No other AI tool in a browser can actually run code and close this loop.
  • 02Different coding tasks genuinely need different models. Claude Sonnet 4.6 is best for understanding and architecture (76.8% SWE-bench). DeepSeek is fast for boilerplate. GPT-5 is best for mathematical reasoning. Paying for three separate subscriptions to get access to all three is expensive and annoying.
  • 03Paying ₹1,700–₹2,100/month across multiple AI subscriptions for development tasks you do 10–12 days a month is wasteful. Most developers don't build every day.
  • 04Large codebase uploads hit context limits fast on standard subscriptions. A backend with 50 files and a Django settings.py, models.py, views.py, and serializers.py all need to be in context simultaneously.
  • 05System design and architecture discussions require a different kind of AI than line-by-line coding help — most tools don't switch modes mid-conversation.

How LumiChats solves this

Built specifically for how developers actually use AI.

⚡

Agent Mode — AI that writes code, runs it, reads the output, and fixes it

LumiChats Agent Mode uses a WebContainer — a full Node.js runtime running live in the browser. The AI writes code, executes it in a sandboxed environment, reads the actual output, fixes errors, and loops until it works. You watch it happen in real time. The copy-paste-debug cycle is over. No setup. No Docker. No local dev environment needed.

🔀

Switch between coding models mid-session without leaving the tab

Start with DeepSeek for fast boilerplate and API scaffolding. Switch to Claude Sonnet 4.6 (76.8% SWE-bench, March 2026 leader) for understanding why a complex algorithm works and writing documentation. Use GPT-5 for math-heavy data science work. Use Gemini 3.1 Pro (80.6% SWE-bench for Google Cloud work) for Firebase and GCP projects. All in one session, one tab, one ₹69 day pass.

📁

ZIP file uploads — your actual codebase, in context

Upload a ZIP of your project. LumiChats reads your file structure, understands your existing patterns and naming conventions, and generates code that fits your codebase. Not generic StackOverflow boilerplate — code that belongs in your specific project, using your existing functions and imports.

🧠

5 million token context — hold your whole codebase in memory

With a 5M effective token context across the session, LumiChats can hold your entire codebase, error stack trace, conversation history, and architecture discussion simultaneously. No more 'tell me again about the code you showed me earlier'. The AI remembers everything in your session.

💰

Pay ₹69 on active coding days — ₹0 the rest of the time

Developers work in intensive sprints — 3 hours of deep focus, then nothing for a day or two. LumiChats charges ₹69 on active days. A developer who codes seriously 12 days/month spends ₹828/month — vs ₹1,700–₹2,100 on a monthly subscription you pay whether you open it or not. The ₹1,199/month option exists for daily users.

A typical session

From opening LumiChats to finished output.

01

Open LumiChats and activate Agent Mode

02

Describe the feature or bug — paste your error trace, codebase context, or spec

03

Watch the AI write, execute, debug, and iterate in the live WebContainer

04

Switch models mid-session for different parts — DeepSeek for speed, Claude for architecture

05

Download generated files or copy the final working, tested code

“Four hours debugging a Django REST API that wouldn't serialize nested objects correctly. I threw the full traceback and my models.py into LumiChats, switched to DeepSeek for the quick fix, then Claude to understand why the original code was wrong. Working, production-quality code with comments in 2 prompts. Four hours to 15 minutes.”

RS

Rahul S.

Backend Engineer, Bangalore

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Common questions

Everything you need to know before getting started.

What languages and frameworks does the Agent Mode WebContainer support?

How does LumiChats compare to GitHub Copilot or Cursor for developers?

Which AI model should I use for different coding tasks?

Can I use LumiChats for system design and interview preparation?

Is ₹69/day or ₹1,199/month better value for developers?

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