Learn together with the SylphAI team on everything now and the future on agents and model training.
AdaL CLI v0.9.1 brings subagents for smarter task delegation, 2x cost efficiency through prompt caching, 15+ new models across providers, and a free month of GLM models in partnership with Z.ai.
AdaL CLI v0.8.0 ships 10+ new models (Gemini 3.1 Pro, Opus 4.6, Sonnet 4.6, Codex 5.2, MiniMax M2.5), doubled agentic tool use capabilities, a redesigned UI, and a new referral program.
LLMs don't generate the JSON tool calls you see in API responses. Behind the scenes, providers use XML tags, special tokens, and custom formats — then translate everything into OpenAI-compatible JSON. Here's what's really happening.
Claude Opus 4.6, Anthropic's latest model, is now rolling out in AdaL CLI.
I let AdaL run autonomously for one session, creating 99 PRs. The results reveal where AI agents actually stand today.
MCP standardizes service access. Skills package knowledge. They're orthogonal—here's why you need both.
Stop clicking through UIs. Learn how to define your PostHog analytics in JSON and automate deployment with a coding agent.
# What is an AI Coding Agent? The Complete Guide for 2026 AI coding agents have evolved from simple autocomplete tools to autonomous partners that understand your entire codebase, write production-r...
Learn why LLMs recompute the same tokens repeatedly, the math behind KV cache, and how to structure prompts for maximum savings.
DeepWiki automatically transforms GitHub repositories into complete, interactive wikis using AdalFlow's powerful LLM workflow engine.
Turn hours of manual LinkedIn sourcing into minutes with an AI-powered recruitment agent built on AdalFlow.
Build a production-ready AI agent with persistent memory, automatic history summarization, and AdalFlow integration.
Learn the core concepts behind self-editing memory in LLM agents: what to store, when to update, and how to retrieve.
Learn how to combine self-supervised prompt optimization with AdalFlow's LLM-AutoDiff for maximum accuracy with minimal labeling.
Say goodbye to manual prompt engineering. AdalFlow is the all-in-one, auto-differentiative solution for optimizing prompts.
Large Language Models are no longer just text generators—they are becoming tool-augmented agents. But when should a model call a tool, and when should it not?