SignalMesh: The Open Source Ambient Context Layer for AI Agent Fleets
99.97% cost reduction on context reads. 1.69µs retrieval. Drop-in with LangChain, CrewAI, AutoGen. The problem every multi-agent system has Your agent…
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How much VRAM do you actually need to run Llama 3 or Gemma locally?
Every few days someone in a local LLM thread asks the same question: "will this run on my 3060?" And the answers are almost always vibes. "Should be f…
Stop letting the prompt be your state machine
Stop letting the prompt be your state machine You shipped an LLM feature six months ago. Now the same user input produces wildly different outputs dep…
Why multi-agent orchestration is harder than it looks
One AI agent answering a question is useful. Five agents that divide a complex task, pass state to each other, and act on live enterprise systems is a…
Building an AI Visibility Scanner: Hybrid AI Analysis Architecture
Building an AI Visibility Scanner: Hybrid AI Analysis Architecture If you've been following the AI space, you've likely noticed the shift: users are n…
Better Models Won't Fix AI Companions
I ran two small tests on AI companion behavior because I wanted to understand a question people keep circling around: Are AI companions bad because th…
RLAIF Is Eating RLHF — Here Are the Four Places Human Feedback Still Wins
RLAIF is having a moment. Walk through any alignment paper or vendor pitch from the last six months and you'll see the same claim: replace your human …
RLHF vs DPO vs IPO vs KTO: which alignment method should you use
RLHF vs DPO vs IPO vs KTO: which alignment method should you use You have a base model, say Llama 3.2 8B, that can write poetry in any meter and pass …
How to Build an AI Coding Stack Without Going Broke in 2026
A solo developer with a $200/month budget can now access the same AI coding power that cost enterprises $50,000/month just two years ago. The secret i…
How I Tested 5 Small LLMs on a Weak PC (Intel i5, No GPU) – And Found a Winner
A practical guide to running LLMs on budget hardware: real speeds, real stories, and real conclusions 📌 Table of Contents My Setup (The "Weak" PC) Why…
Xiaomi's MiMo Code gets better as tasks get harder. Here's how.
Xiaomi's MiMo team just open-sourced MiMo Code — a terminal coding agent built on top of OpenCode, MIT licensed. The pitch isn't raw benchmark numbers…
Moving From Chatbots to Agents: Testing OpenAI Operator
For months, we’ve treated LLMs like fancy autocomplete engines. You prompt, you wait, you copy-paste the output into your terminal. OpenAI’s Operator …
AI Doesn't Hallucinate. Your Architecture Does.
Everyone is talking about hallucination. That's the wrong diagnosis. Hallucination isn't a bug. It's the mechanism. Turn the temperature down far enou…
Spec-driven development в микросервисах, часть 3: archspec investigate — исследование фичи до кода
Третья, заключительная статья из цикла. Часть 1 — где LLM теряет межсервисный контекст и почему локальных спек недостаточно. Часть 2 — archspec как ко…
How to Fine-Tune LLMs on Your Own Data: Open-Source Models, RL Environments, and Evals
If you use LLMs long enough, you hit the same wall. The frontier model is impressive, but it is not always the best model for your job. It may be too …
I tracked every GitHub traffic spike for my open source LLM proxy for 7 weeks. Then I did the exact same thing again, and it worked again.
When I shipped Trooper , a privacy-aware LLM proxy written in Go, I didn't have a marketing plan. I had GitHub traffic analytics and a habit of checki…
Run GLM-5.2 Locally: The Open Model Nobody Can Ban
On June 9, Anthropic shipped Claude Fable 5 — the most capable coding model the industry had ever seen. Three days later, the U.S. government ordered …
The Model Context Protocol (MCP): what it is and how to build a server
The Model Context Protocol (MCP): what it is and how to build a server Your team's LLM-powered application talks to a search index through one custom …
Your AI agent has amnesia. Here's the file architecture I use to fix it.
Most agents I build start life the same way: capable, fast, and completely amnesiac. They have no opinions, no voice, and they forget everything the m…
We burned 136 million tokens running an autonomous agent studio. Here's how we cut the bill ~90%.
We run a studio where AI agents work mostly unattended — they write code, ship sites, produce content, and keep going without a human in the loop. Run…
The Rule Held. The Boundary Moved Up. AI Memory Judgment, CLAIM-31: Verified Carryover Across Closes
In my last claim, a sequence got allowed that probably should have made you nervous. Thirteen refunds, split across two windows, with a close in betwe…
Show HN: I replaced database deadlock victim selection with an LLM — here's the data
Every mainstream database uses fixed rules for deadlock victim selection. MySQL kills the one with the fewest locks. CockroachDB kills the youngest. P…
AI Claim Verification Pipeline: Stop Hallucinations Before They Reach Customers
AI hallucinations rarely look broken at first glance. They look confident, polished, and ready to ship. That is the dangerous part. A generated report…
Going Remote, Without Going Reckless: Multi-LLM Orchestration and the New Front Door in llm-cli-gateway 2.9.0
The earlier posts in this series were about what the gateway lets you call (cache-aware spawning across five providers, the Codex review gate, the CLI…
The Hidden Economics of AI: What It Actually Costs to Run LLMs in Production (With Real Data)
There is an inconvenient truth the artificial intelligence industry prefers to whisper rather than proclaim: the real cost of putting an LLM into prod…
Why Prompts Fail in Production (and the 4 Failure Vectors)
Originally published on AI School — free AI & ML courses, no signup. This is lesson 1 of the free course Prompt Patterns That Survive Production .…
We Built a 'Grovel Index' to Measure LLM Sycophancy —Here's What We Found
We Built a "Grovel Index" to Measure LLM Sycophancy —Here's What We Found TL;DR: We spent ~1.2M tokens measuring LLM sycophancy across DeepSeek and Cl…
The self-improving prompt engine that learns from your codebase history
Via v0.4.0: We Built a CLI That Gets Smarter Every Time You Use It We shipped Via v0.4.0 today another weekend project based on utilizing prompt devel…
Why I quit SaaS AI observability tools and built a local proxy instead
A confession I've been using Langfuse and Helicone for the last 6 months. They're great products. Their teams are sharp. But they don't work for codin…
Apple’s On-Device AI: The Quiet Revolution for Edge Computing and Local-First Apps
The story of AI for the last three years has been written in megawatts. Nvidia GPUs stacked in desert data centers . Models with trillion-parameter co…