Jmix High productivity platform for rapid business application development in Java

๐Ÿšจ Our webinar "Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted Delivery" is live now!Join us as we disc...
11/06/2026

๐Ÿšจ Our webinar "Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted Delivery" is live now!

Join us as we discuss how Java teams can use AI tools without losing control over architecture, security, maintainability, and delivery quality.

๐ŸŽฅ Join the live stream:
https://eu1.hubs.ly/H0w4Cfz0

See you there! ๐Ÿš€

๐Ÿšจ Our webinar "Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted Delivery" is happening tomorrow!Join us ...
10/06/2026

๐Ÿšจ Our webinar "Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted Delivery" is happening tomorrow!

Join us as we discuss how Java teams can use AI tools without losing control over architecture, security, maintainability, and delivery quality.

๐Ÿ“… June 11
โฐ 1:00 PM UTC+0
๐Ÿ’ป 30-minute webinar + live Q&A

We'll cover:
โœ… the limitations of vibe coding in enterprise development
โœ… the 5 main blockers teams face when working with AI
โœ… reducing errors in AI-generated code
โœ… integrating AI into existing development workflows
โœ… AI-assisted development with full-code control

๐ŸŽค Speaker: Viktor Fadeev, Product Manager at Jmix and enterprise software expert with 15+ years of experience in Java and business application development.

If you're evaluating how AI fits into your Java development process, this session is for you.

๐Ÿ‘‰ Register here: https://eu1.hubs.ly/H0w2kmP0?

Getting started with a new tool is always easier when you can see how it works in practice.That's why we've created the ...
05/06/2026

Getting started with a new tool is always easier when you can see how it works in practice.
That's why we've created the Getting Started with Jmix Studio playlist โ€” a series of short videos covering the key features of Jmix Studio. ๐Ÿค

In this playlist, you'll learn how to:
๐Ÿ“use the AI Assistant for coding and documentation tasks;
๐Ÿ“manage database schema migrations;
๐Ÿ“create an application's data model;
๐Ÿ“configure application menus;
๐Ÿ“install add-ons from the Marketplace;
๐Ÿ“generate an application from an existing database using Reverse Engineering;
๐Ÿ“build queries with the JPQL Designer;
๐Ÿ“create and configure application views;
๐Ÿ“create user roles and configure access to application resources.

๐ŸŽ“ The playlist is available here: https://eu1.hubs.ly/H0vZ08Y0

AI IDE plugins changed software development fast. โšกBut in 2026, the real question is no longer about autocomplete qualit...
04/06/2026

AI IDE plugins changed software development fast. โšก
But in 2026, the real question is no longer about autocomplete quality.

The bigger question is:
๐Ÿค” Can plugins alone support sustainable AI-driven development for large engineering teams?

In our new article, we explore:
โœ… where AI coding assistants are genuinely strong,
โœ… where architectural limits begin,
โœ… and why more teams are moving toward agentic and platform-level AI workflows.

Not anti-plugin.
Just a closer look at where the market is actually going.

Read the article: https://eu1.hubs.ly/H0vVTpQ0

๐Ÿ”” Our Live Workshop Starts Tomorrow!๐Ÿ’ป Make B2B CRM with AI and Jmix โ€“ in 1 hour!We'll show how a real enterprise applica...
01/06/2026

๐Ÿ”” Our Live Workshop Starts Tomorrow!

๐Ÿ’ป Make B2B CRM with AI and Jmix โ€“ in 1 hour!

We'll show how a real enterprise application can be built with Jmix, AI Assistant, and LLM-powered functionality.

๐Ÿ—“๏ธ June 2
โฑ๏ธ 13:00 UTC+0

Register here: https://eu1.hubs.ly/H0vNrCn0

See you tomorrow!

๐Ÿ’ป Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted DeliveryAI can generate code fast. But enterprise tea...
28/05/2026

๐Ÿ’ป Vibe Coding in Enterprise: 5 Blockers to Predictable AI-Assisted Delivery

AI can generate code fast. But enterprise teams quickly face a harder problem:
โ–ถ๏ธ How do you keep AI-assisted development predictable, maintainable, and production-ready?

On June 11, weโ€™ll discuss how Java teams can use AI tools without losing control over architecture, security, and delivery quality.

๐Ÿ—“๏ธ June 11
โฑ๏ธ 1:00 PM UTC+0
๐Ÿ‘จโ€๐Ÿ’ป 30-minute webinar + live Q&A

During the webinar, weโ€™ll cover:
โœ… vibe coding and its limitations in enterprise development;
โœ… 5 main blockers teams face when working with AI;
โœ… reducing errors in AI-generated code;
โœ… integrating AI-assisted development into existing production workflows;
โœ… how Jmix combines AI-assisted development with full-code control.

๐ŸŽค Speaker: Viktor Fadeev, Product Manager at Jmix and enterprise software expert with 15+ years of experience in Java and business application development.

This webinar is especially relevant for:
๐Ÿ“CTOs and Heads of Engineering;
๐Ÿ“Product and Engineering Managers;
๐Ÿ“Enterprise Architects;
๐Ÿ“Java teams building enterprise business systems.

Register here: https://eu1.hubs.ly/H0vJ5sy0

โœจ CRM System on Jmix: Architecture, Security, and AI Tools for B2B DevelopmentMost AI CRM demos look impressive โ€“ until ...
26/05/2026

โœจ CRM System on Jmix: Architecture, Security, and AI Tools for B2B Development

Most AI CRM demos look impressive โ€“ until you ask how security, permissions, and business logic actually work in production.

In our new article, we show how the open-source Jmix B2B CRM uses Java, Spring AI, and the Jmix data layer to build an AI assistant that works inside real enterprise rules.

Instead of giving AI direct SQL access, the system uses curated tool calling:
โœ… AI only works with allow-listed entities and reports
โœ… Row-level and attribute-level security still apply
โœ… Business calculations stay version-controlled and predictable
โœ… The AI assistant inherits the same permissions as the user

The key idea: enterprise AI should not bypass your architecture. It should operate inside it.

For Java teams building CRM, ERP, and internal enterprise systems, this is where AI starts becoming production-ready instead of demo-ready.

Read the article: https://eu1.hubs.ly/H0vF7TD0

Make B2B CRM with AI and Jmix - in 1 hour! ๐Ÿ› ๏ธ Join our free live workshop where weโ€™ll show how Java teams can build mode...
19/05/2026

Make B2B CRM with AI and Jmix - in 1 hour! ๐Ÿ› ๏ธ

Join our free live workshop where weโ€™ll show how Java teams can build modern enterprise applications faster with Jmix, AI Assistant, and LLM-powered workflows.

๐Ÿ“† June 2
โฑ๏ธ 13:00 UTC+0

During the session, weโ€™ll walk through the structure of a real enterprise system step by step, so you can understand how to build one yourself. Youโ€™ll see how a production-style business application is designed and implemented in reality โ€” not just isolated code examples.

Our speakers:
๐Ÿ—ฃ๏ธ Dmitry Vaschenko, Jmix Lead Trainer
๐Ÿ—ฃ๏ธ Alex Burov, Business Development Manager

No theory-heavy slides โ€” mostly live demos:
๐Ÿ“data model;
๐Ÿ“business logic;
๐Ÿ“UI development;
๐Ÿ“AI-powered functionality in action.

This is a hands-on workshop for:
๐Ÿ‘ฅ Java developers and solopreneurs;
๐Ÿ‘ฅ Teams working on CRM, ERP, BPM, Internal platforms;
๐Ÿ‘ฅ CTOs, technical leaders.

๐Ÿ“ Register here: https://eu1.hubs.ly/H0vqMKY0

How can Jmix help manufacturers deal with complex production processes and industrial data? ๐Ÿญ Many manufacturing compani...
14/05/2026

How can Jmix help manufacturers deal with complex production processes and industrial data? ๐Ÿญ

Many manufacturing companies face the same challenges: fragmented production data, machine integrations, workflow complexity, real-time monitoring requirements, and the need for reliable systems that can evolve together with the business. ๐Ÿ’ป

Italian engineering company Excogito was no exception. The team specializes in MES solutions for paper manufacturing, pharmaceutical production, and medical equipment industries โ€” environments where operational stability, process transparency, and production control are critical. ๐Ÿ”ฌ

They needed to build industrial MES systems capable of handling production monitoring, equipment integration, operational workflows, and large volumes of manufacturing data โ€” while still keeping development predictable and maintainable.

๐Ÿ’ก With Jmix, they built enterprise MES solutions with real-time production visibility, workflow automation, and integrated data management capabilities.

Read the full customer story: https://eu1.hubs.ly/H0vkcNg0

10 years of Jmix!  ๐ŸŽ‰ 2016. Back then, launching an application meant having a fully staffed development team, endless di...
13/05/2026

10 years of Jmix! ๐ŸŽ‰

2016. Back then, launching an application meant having a fully staffed development team, endless discussions, a couple of philosophical wars over library choices, and a strong sense of adventure.

2026. Today, things look very different: one expert, an ecosystem of tools, and AI assistants that understand the project structure and help write code in the context of the application architecture.

Interfaces are built faster.
Standard functionality no longer needs to be reinvented from scratch. And modern GPUs working with AI get so hot that you could probably warm up your coffee on them.

So, yes โ€” things have become easier. But one important thing hasnโ€™t changed over these 10 years: complexity never disappeared. It simply changed its form.

Thatโ€™s why Jmix in 2026 is about:

๐Ÿ‘ built-in support for AI agents;
๐Ÿ‘ continuous AI assistant support through the help desk;
๐Ÿ‘ predictable architecture;
๐Ÿ‘ full control over code;
๐Ÿ‘ and a library of ready-to-use business components.

And most importantly โ€” itโ€™s about delivering real business value.

This year, Jmix turns 10. ๐ŸŽ‰

Instead of making just one anniversary post, we decided to launch a series of exclusive stories from the Jmix team, partners, and customers about the most interesting things that happened throughout this decade.

Letโ€™s go. ๐Ÿš€

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