@jerryjliu0
Low-code is nice, but if I had to bet on a future, it’s code-based orchestration + coding agents to let anyone bridge that gap. OpenAI’s AgentKit (left img) lets you get started building various flows, like comparing docs, or a basic assistant. Once you need to encode more domain-specific logic/fetch from a data source/create a longer-running agent, you’ll need to export to code and maintain your own workflow. I’m bullish on building advanced agents over your data that live natively on top of a code-based orchestration framework (right two images). We’ve built core tools in @llama_index to help enable building code-based agentic workflows and then deploying them. You can easily get started through a vibe-coding tool or through our templates, but then you get the full flexibility to add whatever you want on top. You get the underlying benefits of agentic orchestration: state management, checkpointing, human-in-the-loop. We’ve also been super deep in coding tools like Claude Code/Cursor/Codex to make sure you’re able to build these automations super easily. With our latest alpha release of LlamaAgents, you can build whatever workflow you want in code and deploy it as an e2e agent on LlamaCloud! Come check it out 👇 https://t.co/o3nMGoQRjS