Combine schema-based components into an Agentix architecture to spin up predefined agents and tools on demand for powerful real-time AI workflows.

Define subagents via markdown files containing a description, system prompt, and tool definitions, then register them in an MCP registry with server J...Show more

Conceptualize an LLM as running your entire operating system and generating software on the fly to execute user requests, exemplified by the Imagine d...Show more

Build a sandboxed real-time code generation system that stores transient state in memory and invokes deep sub-agents to compile and render UI on the f...Show more

Use the 'agentic coding benchmark' (SW bench verified at 82% success) and 'terminal bench' metrics (50% on Sonnet 4.5 vs 36% previously) to measure au...Show more

Prototyping rapid, off-the-wall apps with Claude Imagine helps teams explore system limits and uncover near-term product implications.

LangChain drives a production-ready pattern for building AI agents by providing high-level components within a structured framework while still allowi...Show more

Adopting intelligent defaults and helper functions akin to Rails’ ActiveRecord can abstract low-level logic and accelerate cross-use-case AI agent dev...Show more

LangChain’s new middleware introduces pre-commit and pre-tool hooks for interrupts and human-in-the-loop notifications, providing structured workflow ...Show more

Leverage CLI slash commands (like init, install GitHub app, memory, migrate) to configure and control AI agents directly from the terminal.

Use Git work trees to automatically create separate working directories for each AI agent, eliminating manual config and isolating agent contexts.

Use Claude 4.5 with LangChain and LangGraph to automatically generate both front-end and back-end code for analyst AI agents in minutes, bypassing ear...Show more

Many AI platforms are pivoting their entire stacks to agent-based architectures and then focusing on fine-tuning models as the next step.

Build trading platforms with a layered architecture: broker data integration layer, UI application layer, and a bot automation toolkit to handle techn...Show more

Many agentic trading platforms can host community-contributed quant strategies that users can fork or subscribe to, providing a modular plug-and-play ...Show more

Get up to 80% of a product prototype by embedding developer APIs into ChatGPT or Claude before writing custom application code.

Leverage V0 with iterative prompting to automatically generate trader-specific JavaScript profit/loss visualizations for options strategies.

Use Polygon IO’s MCP server as a connectable LLM toolset in Claude to fetch live financial market data via predefined endpoints.

Using Cloudflare’s official GitHub templates for agents, chat rooms, and real-time features demonstrates a systematic approach to accelerate feature d...Show more

Leverage Cloudflare gateway logs with queues, workflows, and notifications to automatically trigger downstream processes such as DLP rule enforcement ...Show more