GitHub repo: https://t.co/gVKnEp8AI6(don't forget to star it ⭐ ) ...

Context engineering is the new bottleneck!Most of the work in building production agents today has nothing to do with the model.Instead, it's:→ Setting up PostgreSQL for conversation history→ Wiring S3 for file storage→ Writing custom logic to compress long contexts→ Building format converters between OpenAI and Anthropic→ Stitching together monitoring from scratchAnd you do this separately for every agent you build.A smarter approach is now actually implemented in Acontext, which is an open-source context ...

RT Avi Chawla (@_avichawla)Google.OpenAI.Anthropic.They're all working on the same problem for agents.How to let agents control the UI layer at runtime, rather than just output text.That's Generative UI, and it's built on three parts:Anthropic's MCP Apps + Google's A2UI + CopilotKit's AG-UIThese are the building blocks that power Generative UI behind agentic apps like Claude.Until now, bringing them into your app has been complex, with no clear resources to follow.But I found 2 resources that cover everythi ...

Developers guide: https://t.co/Uvxo09LZQEGitHub repo: https://t.co/GjASqxZrmF ...

Google.OpenAI.Anthropic.They're all working on the same problem for agents.How to let agents control the UI layer at runtime, rather than just output text.That's Generative UI, and it's built on three parts:Anthropic's MCP Apps + Google's A2UI + CopilotKit's AG-UIThese are the building blocks that power Generative UI behind agentic apps like Claude.Until now, bringing them into your app has been complex, with no clear resources to follow.But I found 2 resources that cover everything you need to get started. ...

Mini-SGLang GitHub:(don't forget to star 🌟)https://t.co/sf4ZbktapY ...

Learn how LLM inference actually works under the hood.vLLM has 100k+ lines of code. Mini-SGLang does the same core job in 5,000.It's a compact codebase that serves as both a capable inference engine and a transparent reference for researchers and devs. Something you can actually finish reading over a weekend.Here's what makes it special:↳ Clean, type-annotated code you can actually read↳ Radix cache to reuse KV cache across shared prefixes↳ Chunked prefill for long contexts without memory blowup↳ Tensor par ...

RT Avi Chawla (@_avichawla)Vector search is not always the answer.A 30-year-old algorithm with zero training, zero embeddings, and zero fine-tuning still powers Elasticsearch, OpenSearch, and most production search systems today.It's called BM25, and it's worth understanding why it refuses to die.Let's say you're searching for "transformer attention mechanism" in a library of ML papers.BM25 scores documents using three core ideas:1) Word rarity matters more than word frequencyEvery paper contains "the" and ...

This hybrid search stack I mentioned in the post is actually implemented in this open-source context retrieval layer for agents.GitHub repo: https://t.co/iU6P0KoaRf ...

Vector search is not always the answer.A 30-year-old algorithm with zero training, zero embeddings, and zero fine-tuning still powers Elasticsearch, OpenSearch, and most production search systems today.It's called BM25, and it's worth understanding why it refuses to die.Let's say you're searching for "transformer attention mechanism" in a library of ML papers.BM25 scores documents using three core ideas:1) Word rarity matters more than word frequencyEvery paper contains "the" and "is" so those words carry n ...