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📛 react 🧠 React is a versatile JavaScript library for creating interactive, component-based user interfaces, easily integrated into current projects. 🛠️ @MetaOpenSource 💻 JavaScript ⭐ 241297 🍴 50018 🔗 github.com/facebook/react

Can anyone explain about reactive programming in simple way? #Java #springboot #reactiveprogramming #backend

This turned out to be the real Reactive killer. I always wondered anyway why yoy would need to competely change your programming style to solve what is basically a resource problem.

📛 react 🧠 React is a versatile JavaScript library for creating interactive, component-based user interfaces, easily integrated into current projects. 🛠️ @MetaOpenSource 💻 JavaScript ⭐ 241177 🍴 50009 🔗 github.com/facebook/react

"Reactivity" was a mistake imo. There are some obvious reactive surfaces (internal state changes, sizing, position, ...) but in most cases you are already triggering a change somewhere. Calling a method to re-render when you know you need to just makes life easier for everyone.

A production-grade ReAct loop should: -Enforce strict JSON: thought, action, final_answer -Use an explicit tool allow-list -Guard with max_turns + token budget -Survive tool failures and keep going Same ReAct idea as the paper, hardened for prod.

ReAct = Reason + Act. The model loops: Think → Act (tool) → Observe → Think → … Perfect when each step depends on the last one or a human is in the loop. Downside: every tool call is mid-thought, so tokens and latency stack up fast.

(3/6) • `reactive`, `observe`, `output`: Captures the calculation (including any async promise chains) of a reactive expression (`reactive()`), an observer (`observe()`), or an output render function (`render*()`).

Reactive Programming Paradigms: Mastering Backpressure and Stream Processing - #Java Code Geeks javacodegeeks.com/2025/12/reacti…

Sure. The future type (Completes) is part of my reactive platform for Java, based on the Actor Model: github.com/vlingo This example is the familiar Pet Clinic but far better. Note the return types on the Pet protocol. All "commands" can be designed like that.…

Ever wondered why your agent’s final answers are so unpredictable? Here's the secret: Structured outputs. Not the “JSON blob at the end” people talk about... The deliberate engineering pattern that connects an agent’s reasoning (software 3.0) to real systems (software 1.0).…

@0xReactive is an EVM-compatible execution layer for dApps built with Reactive contracts. These contracts differ from traditional smart contracts by using inversion-of-control for transaction lifecycle, triggered by data flows across blockchains rather than by direct user input

Now, the core: The Reasoning Loop. The agent doesn't guess. It plans in steps. 1. Thought: "User wants weather in London. I have a weather tool." 2. Action: Calls get_weather("London") 3. Observation: "72°F and sunny" 4. Final Answer: Delivers result to user. This is the ReAct…

Just here to advertise my reactive state machine and animation library for Dart and Flutter, if you like fancy UI interactions. pub.dev/packages/kito Live Demo: darmie.github.io/kito

Smart contracts used to be passive NPCs. Reactive Network turned them into main characters @0xReactive Real‑time event‑driven cross‑chain autonomy ==no more waiting around when reactive is here

Lightweight customizable reactive JavaScript library github.com/lowlighter/miz…

Day-1 : I hate Kotlin Day-2 : I hate Reactive Coding Day-3 : Kotlin is not that bad Day-4: Reactive coding is also making sense. This video helped me lot to understand the reactive coding. The steps to change from blocking to reactive - youtube.com/watch?v=wsgJU5…

That makes sense! Also I could contribute the async signal I made there too (if you want): gist.github.com/rodydavis/3b52… There are also some signal helpers I made for core value types (map, set, array, etc) that make them reactive. (in JS it could just be a proxy).

Continual learning for LLMs and agents will be critical for the next step-function improvement. Ran experiments on recursive language models + code execution, and found ~6× gains over ReAct on BrowseComp Plus, a long context, multi-hop benchmark. tangbyron.github.io/blog/2025/recu…

реактивным программированием я называю подход, когда ты решаешь проблему просто любым удобным способом максимально быстро в любом месте в коде используя любой удобный сейчас флаг/enum или структуру данных. ну типа реагируешь на проблему - решаешь 👍