Introducing the new AI assistance integrated into Xailer
Publicado: Jue Jul 23, 2026 9:20 pm
We are pleased to introduce one of the most important additions to the new Xailer release: an intelligent assistance environment connected to the project and to the live state of the IDE.
The solution combines three components:
• OpenCode, providing the assisted interface, agent orchestration and automation.
• MIA, providing persistent technical memory, contextual search and reusable knowledge.
• Xailer IDE MCP, providing operational access to the active file, current selection, navigation, editing and the real project build.
The difference from a generic assistant is significant: the AI does not work only from an isolated description or a copy of the source code. It can understand the context currently open in Xailer, analyze build output, locate symbols and files, propose scoped changes and help validate the result against the real project.
Key use cases include:
• Understanding large or legacy projects.
• Accelerating onboarding for new developers.
• Diagnosing build errors and identifying likely root causes.
• Navigating files, symbols, forms and dependencies.
• Preparing minimal changes and reviewing them before validation.
• Documenting architecture, modules and technical decisions.
• Preserving technical memory to improve continuity of work.
The recommended workflow is simple: understand, propose, execute and validate. AI accelerates analysis and execution, while final verification remains grounded in the real project.
OpenCode + MIA + Xailer IDE MCP turn AI assistance into a practical capability for developing, maintaining and supporting Xailer applications.
We look forward to hearing your feedback, use cases and suggestions.
The solution combines three components:
• OpenCode, providing the assisted interface, agent orchestration and automation.
• MIA, providing persistent technical memory, contextual search and reusable knowledge.
• Xailer IDE MCP, providing operational access to the active file, current selection, navigation, editing and the real project build.
The difference from a generic assistant is significant: the AI does not work only from an isolated description or a copy of the source code. It can understand the context currently open in Xailer, analyze build output, locate symbols and files, propose scoped changes and help validate the result against the real project.
Key use cases include:
• Understanding large or legacy projects.
• Accelerating onboarding for new developers.
• Diagnosing build errors and identifying likely root causes.
• Navigating files, symbols, forms and dependencies.
• Preparing minimal changes and reviewing them before validation.
• Documenting architecture, modules and technical decisions.
• Preserving technical memory to improve continuity of work.
The recommended workflow is simple: understand, propose, execute and validate. AI accelerates analysis and execution, while final verification remains grounded in the real project.
OpenCode + MIA + Xailer IDE MCP turn AI assistance into a practical capability for developing, maintaining and supporting Xailer applications.
We look forward to hearing your feedback, use cases and suggestions.