Code LLM CLI Capabilities
🤖 Orchestrates GPT-5 and Claude Sonnet 4 in real-time, leveraging GPT-5 for raw intelligence and Sonnet 4 for contextual reasoning and planning.
⚙️ Functions as an agentic system, generating multi-step plans, executing them, debugging, and integrating with existing setups like Git and code repositories.
🌍 Provides multi-language support and builds entire applications from the command line, such as a fully functional chat-to-PDF app, significantly reducing development time.

Advanced Agentic Workflow
🔍 Offers step-by-step reasoning during debugging, showing analysis of files, flagging issues, and directly rewriting code in place, rather than just suggesting fixes.
🔄 Allows live rerouting and adjustment of plans mid-execution, enabling a collaborative development process where users can adapt the AI's generation on the fly.
📊 Builds complex applications like a local spreadsheet-to-chat app that handles data upload, displays file information, and offers natural language querying with data visualizations.

Developer Experience & Integration
🏷️ Facilitates direct file tagging within the CLI to focus the agent on specific code sections for restructuring or other targeted tasks.
✅ Enables developers to accept code changes incrementally or all at once, exemplified by accepting 11 generated files with a single command.
🧠 Integrates a user memory system (currently in beta for Chat LM) that learns user preferences and adapts to individual conversational styles over time.

Performance & Future Outlook
📈 Handles large, messy codebases efficiently by indexing and navigating entire projects without losing context, unlike many other AI coding tools.
🚀 Produces production-ready output quality, with developers posting examples of polished, responsive websites generated in minutes by Code LLM.
📊 Abacus AI plans to release benchmarks in 2 weeks to publicly prove its claim as the number one coding agent in the world.

Key Points & Insights
✨ Code LLM CLI sets a new standard for AI coding agents by orchestrating multiple powerful models (GPT-5 and Sonnet 4) to deliver complex, multi-step solutions.
💡 Developers gain unprecedented control and transparency through features like live plan adjustments, step-by-step reasoning explanations, and flexible change acceptance.
🌟 The tool's ability to handle large projects and integrate user learning suggests a future where AI coding partners are highly adaptive and central to serious developer workflows.
🎯 Abacus AI aims to become the go-to platform for serious developer agents, integrating a full suite of connected tools to enhance the entire development lifecycle.

📸 Video summarized with SummaryTube.com on Aug 25, 2025, 14:05 UTC