TabForge AI brings chat agents and context-aware UI to Java enterprise web apps

·1 views

TabForge AI is a newly released open-source platform designed to bring modern AI-powered user experiences to Jakarta EE and PrimeFaces-based Java web applications. The platform includes EasyAI, a provider-agnostic layer built on LangChain4j that supports chat, tool-calling agents, and structured data extraction through a fluent Java API. A custom tab management system called DynTabs gives each open tab its own isolated CDI bean, while a deterministic pipeline feature lets developers control multi-step AI workflows without relying on unpredictable agent behavior. The platform also introduces Ambient Activity Memory, which tracks user actions so the assistant can resolve context-dependent queries, and a proactive suggestion system that uses plain Java rules to trigger relevant prompts. TabForge AI ships with a library, live demo, starter project, and a drop-in UI template to help Java teams get started quickly.

Read the full story at DEV Community

This is an AI-generated summary. ShortSingh links to the original source for the complete article.

Discussion (0)

Claude Code Hooks Let Developers Block AI Agents from Reading Secret Files

Claude Code, Anthropic's coding agent, can inadvertently read sensitive files like .env or private keys while debugging, exposing secrets in session transcripts and logs. The platform offers a built-in mechanism called hooks — small scripts registered in settings.json — that intercept tool calls before they execute. Developers can write Python-based PreToolUse hooks to deny file reads matching secret-file patterns, or Bash hooks to block dangerous commands like rm -rf on sensitive paths. Stop hooks can also prevent a session from ending until checks like linting pass, while SessionStart hooks can automatically inject git context at the beginning of each session. Unlike informal instructions in CLAUDE.md, hooks are enforced programmatically and return structured denial reasons the model can act on.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How Android Developers Are Bringing On-Device AI to Apps in 2026

On-device AI has become a practical focus in Android development in 2026, driven by real-world needs like offline functionality, lower latency, and keeping sensitive data off the network. Unlike cloud AI, local inference runs directly on a phone's CPU, GPU, or NPU, making it viable for tasks such as summarizing logs or correcting pronunciation without an internet connection. Google's Gemini Nano, managed through the Android AICore system service, is a key tool enabling this, though its availability varies by device chipset, RAM, and Android version. Most production apps in 2026 use a hybrid approach, combining on-device and cloud AI depending on the task at hand. Developers must carefully assess which workloads suit local inference, as device hardware constraints still limit model size and reasoning depth compared to cloud-based alternatives.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

How to Stop Jira and Confluence From Auto-Converting Quotes

Atlassian's Jira and Confluence automatically convert standard single and double quotes into typographic 'smart' quotes when users type them. There is currently no built-in setting to permanently disable this auto-formatting behavior. However, users can work around the issue by pressing Ctrl-Z immediately after a smart quote appears to revert it to a standard character. The same trick applies to apostrophes in contractions, such as 'don't', where the apostrophe changes after the following letter is typed. Pressing Ctrl-Z at that point restores the plain apostrophe.

0 comments Read more at DEV Community

ProgrammingDEV Community ·

Open-Source Java Diagnostics Tool Axelix Reaches General Availability

Axelix, an open-source tool designed to identify common problems, inefficiencies, and pitfalls in Java applications at scale, has officially reached General Availability (GA). The project was developed by a core team with contributions from its broader community and is now publicly accessible on GitHub. The announcement comes alongside a discussion of the Java ecosystem's maturity, noting that Spring Data JPA and Hibernate dominate database-access patterns in Java, unlike the more fragmented JavaScript ORM landscape. The team highlighted that Java remains widely used in enterprise software development, citing JetBrains and Stack Overflow developer surveys for 2025. Axelix aims to address challenges specific to large-scale Java applications built around these well-established but complex frameworks.

0 comments Read more at DEV Community