Coming soon: the first all-in-one, AI-assisted, open source Dev/Data/ML/LLMOps platform for backend engineers.
Why building software today feels like assembling IKEA furniture... blindfolded
Docker → Kubernetes → Terraform → GitHub Actions → AWS Console → Grafana → Slack → Repeat...
Result: Context switching kills focus and momentum.
Every tool has its own AI assistant, but none understand your full stack.
Result: Isolated help without shared context across your workflow.
Everything is imperative commands and configuration files scattered across repos.
Version upgrades, integration work, bug fixes, and keeping everything compatible.
Everyone rebuilds the same infrastructure patterns from scratch.
Let's clear up some confusion about what Lunchbox actually is
No, it's a platform for serious backend/AI engineering. Teams that hit the ceiling with Lovable can move to Lunchbox to build robust and scalable microservice-based backends that use Big Data and AI.
No, it's more than an IDE. It's a platform with an AI-powered IDE (built on VSCode) inside it. Think of it as your entire development ecosystem, not just a code editor.
Yes, it's cloud agnostic. Whether you're team AWS, GCP, Azure, or something else entirely - Lunchbox adapts to your infrastructure preferences.
No lock-in. Lunchbox is open source and has a super friendly eject option. You own your code and infrastructure.
Yes. Built on popular open source tools. Switch between them (e.g., Postgres → MariaDB) while maintaining a stable higher-level API.
In a single, unified experience
Container orchestration
Simple Concurrency
Automatic code parallelization
Virtual clusters
Security & Compliance for k8s
OSS PaaS experience
GUI AI assistance for engineers
Block-based system building
Experiment Tracking + Artifact Storage
Helper APIs for microservices
Meta service mesh
Function-to-k8s-workloads builds
Datahub + Trino + Superset
Online data testing
OpenTelemetry + SigNoz + more
Git-based workflow + data versioning
AI system Quality Assurance
Auto code learning
Auto-finetuning within code
Advanced notebooks
Crisp visualizations
Unified GUI for engineers
Data annotation
Thingsboard + KubeEdge
All integrated seamlessly
Everything you need to build, deploy, and scale modern software systems
Build-time DSL that extends Python, Rust, Go, and more. Continue using your favourite libraries, no changes required.
Describe what you want, not how to build it. Self-serve platform that handles the complexity for you.
Write code that feels like local single-threaded computing. Then, add build-time decorators that make it parallel, concurrent and distributed.
Edge devices simulated in the cloud with Digital Twin visualization of your entire physical edge system. See the complete picture of your embedded devices and their environment.