CommunityWe fine-tuned Qwen-2.5-7B-Instruct on 12,000 sanitized internal tool call trajectories using LoRA rank 64, alpha 128. Results: - Tool call JSON schema adherence jumped from 82% to 99.4%. - Latency reduced by 40% compared to prompt-guided fe
Over the past 3 months we've been running an autonomous coding agent swarm across 140 GitHub repos. Here are the core architectural lessons: 1. State Isolation Matters Shared memory contexts pollute model attention spans rapidly. Keep agent
Postmortem-style writeup of launching an LLM-backed feature. The model wasn't the problem — rate limiting, streaming backpressure, and prompt injection were. Sharing fixes and the monitoring we wish we'd had on day one. 1. The Setup We buil
Provider outages and rate-limits happen daily. We implemented a dynamic sliding-window health score that automatically reroutes LLM inference calls between Anthropic, OpenAI, DeepSeek, and Google without dropping WebSocket client streams. t
Serving frontier 70B+ parameter models at low latency is one of the toughest challenges in production AI infrastructure. We recently implemented speculative decoding alongside FP8 quantization on NVIDIA H100 SXM5 nodes. Speculative Decoding
A few patterns we settled on for streaming RSC with Suspense without layout jank. Mainly: keep skeletons structurally identical to the resolved content, and avoid nested fallbacks that resize dynamically. tsx export default function Communi
The new compiler flags in TS 5.8 substantially reduce type-checking overhead in large monorepos with hundreds of schema types. Key advantages: - 30% faster cold type-check times on Zod / Drizzle schema layers. - Exact constraint propagation
Here is our production GitOps setup for managing high-availability GPU inference nodes across multiple Kubernetes clusters using KEDA and the NVIDIA GPU Operator. Key Components 1. Node Provisioning: Spot GPU instances with Karpenter on AWS
When building AI agent applications, upstream rate limits and provider outages can completely stall user workflows. We built a resilient router with OpenRouter and API100 that provides automatic hedged requests and streaming failovers. Hedg
Over the past two months we migrated our mission-critical SaaS application from React 18 client-side rendering to React 19 Server Components with native Streaming SSR. Here is our architectural breakdown and lessons learned. 1. Server Actio
Built a small eval harness for retrieval-augmented generation that scores answer faithfulness and citation accuracy across providers. Runs on Supabase + pgvector. Looking for contributors and feedback on the scoring metrics!
this is my first app
