Forty Minutes to Deadline: Victoria in a Gulf Newsroom
Every newsroom in the Gulf knows the same forty minutes. A minister's statement lands late, a market moves, a statement in Arabic needs its meaning…
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EAGLE-4 does not run on a Mac. I measured MTP instead: +92% on one model, -19% on another
A release announcement for EAGLE-4, a speculative decoding method, reported up to 3.4x faster generation for Qwen3.8-27B on four NVIDIA B300 GPUs. I…
What to alert on when your LLM feature is live
Your LLM passed the vibe check. It is in production. Nothing is throwing exceptions, and users are still clicking. Silent failures can develop while…
Statewave Guide — Day 5: We taught it to speak. Then realized it still doesn't finish the job
Built 27 Aug 2026 · written up 21 Oct 2026 Yesterday's question: Can we turn verified product truth into human guidance without inventing anything n…
Why 12% of Agents Fail Without FlowState – The Secret to 83% Success
FlowState — Turning Execution State into Memory for Long‑Horizon LLM Agents The Lead “ Only 32 % of autonomous agents finish a 20‑step planning task…
Run DeepSeek-V4.1-Flash (748B) locally with Project Maya on one RTX 5090
DeepSeek-V4.1-Flash-1017 has 748B parameters. Even Project Maya's own 2-3 bit quant is 340 GB with its Engram tables, and my workstation has 128 GB…
The Definitive Guide to the DeepSeek API: Architecture, Pricing, and Production Integration
TL;DR The DeepSeek API provides OpenAI-compatible access to frontier Mixture-of-Experts and reasoning models at token costs up to 90% below legacy p…
Your AI agent crashed at step 7. Now what? Meet pylinxi
Production AI agents fail in boring ways, and pylinxi is a small open-source Python library built to make those failures recoverable. Picture a supp…
Hi everyone! I’m Moreno, a Java developer and consultant from Italy. In the evenings I dig into LLM agents and what breaks in production: broken JSON, provider outages, agents doing what they shouldn’t.
Welcome Thread - v 397 Sloan the DEV Moderator Sloan the DEV Moderator Sloan the DEV Moderator Follow Oct 14 Welcome Thread - v 397 # welcome 51 &nb…
Build a Deterministic Mock LLM Provider So Your Eval Suite Runs With No API Keys and No Network
Every LLM project I have worked on eventually hits the same wall. Your eval suite and your unit tests both want to call a model, and the moment they…
LLM-as-judge, responsibly: a checklist before you trust an AI to grade anything
"LLM-as-judge" has quietly become infrastructure. We use one model to grade another's answers, to decide if a test really passed, to score RAG relev…
SIE vs vLLM: Which Fits Your Embedding and Reranking Workloads?
Quick answer: SIE is the production layer for embedding and reranking workloads: one API for dense, sparse, and multi-vector embedders, rerankers, O…
3 Authors Own 29 of Our Top 50 Agent Skills. Here's What They Do Differently.
We evaluate agent skills for a living — 600+ scored on six dimensions at Skill123 . Sort by score and the author column collapses: eleven skills fro…
I Built a Small LLM From Scratch — Here’s What I Finally Understood About Transformers
How a Tiny LLM Works: Building a Language Model From Scratch in PyTorch Have you ever wondered what actually happens inside an LLM when you type: "H…
What Happens When You Run 10 AI Agents at Once in a Real Codebase
I spend a lot of time in the AI space -- reading papers, building things, talking to engineers who are actually shipping. And there is a gap between…
Hidden Page Instructions Are a Support Policy Decision, Not a Prompt Hack
The Decision Behind the Markup Your help center is no longer read only by humans. Chatbots, browser agents, and search summarizers scrape it and ans…
Introducing Iceberg DB: India's Serverless Vector Database & AI Agent Memory Engine (<20ms Latency)
While building RAG pipelines and autonomous AI agents in India, I kept hitting the same three walls with US-hosted vector databases: 200ms+ Network…
Keep Claude Code, Cursor and the rest of your stack. Put Kimchi's proxy in front.
Originally published on the Kimchi blog by Gaurang Singh. Our own engineers never gave up Claude Code. What changed is the path underneath it. Their…
We ran DeepSeek Harness against Kimchi on the same model. It lost by 22 points
Originally published on the Kimchi blog by Matas Kaminskas. DeepSeek Harness (dsh) came out on August 13, 2026. Seven weeks later it has 239,003 Git…
Trail-Code: A Chinese Translation of the Self-Learning Context Layer for Coding Agents
Trail-Code is a context layer for coding agents — Claude Code, Cursor, Codex, Gemini, and others. The original project, trailhq/Trail-Code , has 10,…
Ollama, vLLM & Private LLMs: Routing Self-Hosted Models Next to Your Cloud Keys
Ollama, vLLM & Private LLMs: Routing Self-Hosted Models Next to Your Cloud Keys You have OpenAI, Anthropic, and Gemini keys in your app — and a…
How I Cut Long-Chat Token Bills by 85-95% With Semantic Context Compression
How I Cut Long-Chat Token Bills by 85–95% With Semantic Context Compression A practical engineering post on semantic context compression for LLM age…
Forward Deployed Engineering FAQ
Originally published at Trida AI . The demo worked. Then the room went quiet, and someone asked the question that decides whether anything happens n…
Parallel Agents Need Ownership Too
I kicked off three agents before lunch and came back to four half-finished branches, two overlapping PRs, and nobody who could say which lane owned…
DeepSeek V4.1-Flash-1017: Build a Search Workflow You Can Audit
A product researcher asks which API features a vendor added this week. Your application returns a fluent summary, but one item comes from an old ann…
Put the Decision Model Inside the Agent Loop, Not Beside It
The cost nobody budgets for Build an agent and count where the tokens go. A surprising share is not the work. It is the agent asking itself small qu…
글을 쓰지 않는 판정 모델이 벤치마크 137개 리더보드에서 1위에 올랐습니다
결론부터 Darwin-27B-ZTC-v9 가 S1MB 영어판 리더보드 1위 입니다. 2026년 10월 20일 라이브 기준입니다. 순위 모델 보르다 1 Darwin-27B-ZTC-v9 90.38 2 kettei-fat v1.0 90.14 3 Superion S1 89…
LLM API Pricing: 375 Models Compared Across 137 Providers
Oct 20, 2026 You would expect that when 375 models are each served by at least two providers, the market would have found some pricing equilibrium.…
BM25 vs Embeddings: Why My Vector Search Couldn't Find Error E4012
A user typed E4012 into my docs assistant. The top result was the page for E4021 . The second was E4013 . The page that actually explained E4012 sat…
How I cut my AI inference bill by 80% - moving from OpenAI to self-hosted models
My OpenAI bill was $400/month. After moving to self-hosted models on a single Hetzner GPU box, it's $80/month and falling. Here's the playbook. The…