Blog
Insights on AI-powered development, prompt engineering, and building software with intelligent agents.
Git-Native AI Development: Every Action is a Commit
Explore the importance of traceability in AI-driven code generation, emphasizing how turning AI actions into git commits enhances accountability and rollback.
Building an Embed SDK for AI-Powered Workflows
Learn how we created an Embed SDK for Orquesta to integrate AI workflows into any web app with a single script tag. Explore architecture and real-time capabilities.
AI-Native Team Collaboration: Shaping New Roles and Workflows
Discover how Orquesta redefines team roles and workflows in AI-native environments, enabling seamless collaboration with AI agents handling code execution.
Security by Default: The Case for Local Code Execution
Explore why keeping code local enhances security, ensures privacy, and provides full control over development environments — a safer alternative to cloud sandboxes.
Orquesta CLI: Local LLM Management with Dashboard Sync
Manage local LLMs like Claude, OpenAI, Ollama, and vLLM with Orquesta CLI. Sync configurations to the cloud, track prompts, and manage org-scoped tokens seamlessly.
Agent Grid: Oversee AI Agents with Seamless Efficiency
Discover how Agent Grid's live terminals and intuitive layout simplify monitoring of multiple AI agents, ensuring efficient management across projects.
Transform Your Debugging with Real-time AI Log Streaming
Real-time log streaming allows developers to monitor AI agents line by line, enabling early error detection and fostering trust in AI-generated code.
Autonomous Server Debugging with Batuta AI's ReAct Loop
Explore how Batuta AI uses the ReAct loop to autonomously debug servers via SSH, iterating through Think, Act, Observe, and Repeat until tasks are complete.