70 related articles
Has AI Coding Assistant Fable Been Ner…
A developer questioned whether AI coding assistant Fable was nerfed, finding 4–10x more tokens routed to Opus with Fable doing ~20% of the work. A deep dive into multi-model routing, transparency, and AI trust.

Explore API aggregation proxy platforms that let you call GPT, Claude, DALL·E and more through one unified interface. Includes GPT-Image-2 testing at just $0.006 per call.

MiniMax M3 launches on Fireworks with 512K context and multimodal input. MSA sparse attention delivers 9x prefill and 15x decode speedups. Deep dive into architecture, pricing, and open-model competition.

Fireworks AI launches Qwen 3.7 Plus with latency/throughput optimization, zero data retention, and 99.9% SLA enterprise guarantees. Explore the full-stack deployment solution for commercial open-source model inference.

A deep dive into core challenges and key technologies for LLM infrastructure, covering GPU cluster management, inference optimization, distributed training, cost control, and observability.

AI model router Prism announces Fable 5 integration, achieving up to 30% cost reduction per task without quality loss through per-turn intelligent routing and cache-aware technology.

OpenAI's Responses API and Completions API now support built-in moderation scores. Developers can get generation results and safety signals in one call. Here's what it means for AI security architecture.
TutorialsComplete tutorial on Alibaba Cloud Bailian platform covering API Key setup, Qwen model calls, streaming output, multi-turn conversation principles, and prompt engineering with four roles.
Industry InsightsIn-depth analysis of API aggregation gateways for multi-model AI access: unified interfaces, intelligent routing, disaster recovery, plus key risks around security, latency, and compliance.
Tech FrontiersWindsurf integrates Claude Opus 4.7 fast mode with 2.5x speed boost while retaining full intelligence. Analysis of its impact on developer productivity and AI coding tool competition.
TutorialsLearn how to deploy a PD-disaggregated SGLang inference cluster on AMD GPUs using a single config file, boosting LLM throughput and latency performance.
Tech FrontiersSGLang v0.5.12.post1 stability patch details: 12 critical fixes covering DeepSeek V4 garbled text and crashes, NIXL PD disaggregated inference logic, Blackwell B300 adaptation, and cold start optimization.
Product ReviewsReal-world testing of MiniMax M2 as Claude Code's backend model across three projects: framework migration, iOS development, and full-stack MVP — at just 8% of Claude's price.
Deep DivesCompare Anthropic's Claude Opus, Sonnet, and Haiku models across intelligence, speed, and cost. Practical selection guide with multi-model routing strategies.
Product ReviewsOne API is an open-source LLM API gateway that unifies 30+ LLM providers including OpenAI, Claude, Gemini, and DeepSeek through an OpenAI-compatible interface. Features Key management, quota control, load balancing, and one-command Docker deployment. 32k+ GitHub Stars.
Tech FrontiersHands-on review of Inception Labs' Mercury 2 diffusion model, benchmarked against Claude Haiku, Gemini Flash and more across code generation, structured reasoning, and long-range planning at 1000+ tokens/sec.
TutorialsSiliconFlow offers 16 RMB free credits on signup, supporting DeepSeek, Qwen, Kimi APIs. Complete guide from registration to Claude Code integration via CitySwitch.
Tech FrontiersGoogle releases Gemini 3.5 Flash, optimizing the balance between speed and capability. Analysis of Flash series evolution, comparisons with GPT-4o mini, and practical value for developers.
Deep DivesAn open-source tool lets you visualize LLM token generation speeds from 5-800 TPS, helping developers make rational choices about model selection and inference optimization.
Tech FrontiersGPT Image 2 generates flawless text and photorealistic APP interfaces from scratch. Combined with Codex, AI front-end development enters a paradigm revolution. Coverage includes Amap's ABOT, LLM interpretability breakthroughs, and Huang's TPU rebuttal.