@MikeRyanDev
Maybe Redux, or a Redux-like framework needs a comebackView quoted post on X
Having state in ONLY ONE PLACE sounds pretty beneficial to agents
I.e. restrict the decision space, only allow one way of doing things
INTRODUCING: CopilotKit CLiF
A platform for Continual Learning from Full-stack Trajectories.
Teach your agents how work gets done by turning the work users & employees do into:
→ Exportable datasets (of trajectories)
→ Evals (bring into platform of choice)
→ Skills
→ Fine-tuned models
Your users already do the exact tasks you're trying to teach your agent, every day.
Yet months of evals and engineering leave out your most important dataset...
Product trajectories.
AG-UI already sees every step your agent takes. Now it can also securely capture what your users do: what was on their screen, the buttons they clicked, the server requests they triggered.
Together that's a full-stack trajectory.
Your people already do the work.
Now agents can learn it from them.
Compatible with your existing observability and evals stack. Fully self-hostable.
@CopilotKit CLiF is in private alpha.
Book a demo / Get early access: go.copilotkit.ai/get-clif
More below 👇View quoted post on X
🏁 ComputeSDK Actions are live
What we built:
⚡ Massive concurrency for parallel dev cycles 🌐 Sandbox providers + regions 🌿 Git-first workflow portability 🛡️ Ordered fallback for reliability 🤖 Agent-native CLI + API
Let’s get into it ↓View quoted post on X
The AWS PACE team:View quoted post on X
"we face the tension between speed and production readiness daily. [...] Our teams landed on Nx and have used it for several years for exactly this"
nx.dev/blog/nx-plugin…
Hey so we designed, architected, built, and shipped an entire agentic onboarding system w/evals in three weeksView quoted post on X
