FinOps X 2026 recap: the great token panic
If you were following the FinOps X 2026 conference that just wrapped up in San Diego (June 8–11, 2026), you probably noticed a massive shift. The disc…
DevOps
⚑ Report a ProblemLatest DevOps news from Tech News
All topics
agents
ai
api
architecture
automation
aws
beginners
career
cloud
database
devchallenge
devops
docker
gemma
javascript
kubernetes
llm
machinelearning
mcp
opensource
performance
productivity
programming
python
security
showdev
softwareengineering
tutorial
typescript
webdev
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 …
I Stopped Fighting Prompts: Locking Down Markdown with Jinja2
We faced a recurring issue in our content generation pipeline: the LLM frequently outputted malformed Markdown. Unclosed code blocks, broken list leve…
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…
Making a fleet of self-hosted LLM agents trustworthy
Originally published at llmkube.com/blog/making-self-hosted-llm-agents-trustworthy . Cross-posted here for the dev.to audience. Running a single local…
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…
I was fine-tuning a language model on Arabic. The loss was perfect. It spoke Chinese.
Repo: github.com/AmmarHassona/trainsafe I was working on fine-tuning an open-source small language model (SLM) on Arabic using DPO. I had the data, th…
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…
NVIDIA RTX Spark Superchip: Unified CPU–GPU Memory
What: NVIDIA's RTX Spark "superchip" (unveiled around Computex / Build 2026) pairs a 20-core Grace CPU with a Blackwell RTX GPU that together address …
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…
A Chinese 8B model beat the Western 8B models at Japanese RAG. I still wouldn't put it in the default deployment — and that distinction is the point.
Extends an earlier model-selection benchmark to three model families (Japanese / Western / Chinese) on a Japanese RAG task. Repo + raw results: https:…
Two Pre-Registered Benchmarks for Audit-Native RAG: RAB (EU AI Act 10/12/19) + LRB (Time-Travel Retrieval)
Most RAG demos answer "what's the right chunk?" Very few can answer the two questions a regulator or an auditor will actually ask: Replay this decisio…
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 .…
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…
GLM 5.2 Just Dropped: What Zhipu's New Open-Weights Flagship Means for Developers
Introduction Zhipu AI (THUDM) has officially released GLM 5.2 , the latest iteration of its flagship open-weights model family. Announced today by Jie…
Context Compression Before the LLM: Cutting Tokens Without Cutting Recall
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
Query Rewriting Before Retrieval: The Cheap Recall Win Most Skip
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
Install last30days-skill Research the Last 30 Days of the Internet: Installing last30days on Hermes Agent
In this article, I'll show you how to install last30days-skill on Hermes Agent. My Hermes Agent is on Raspberry Pi 4 (Ubuntu OS). Prerequisites: Node.…
The Direction of AI in 2026: Performance, Cost, and the End of One Model for Everything
Six months ago, I could tell you which model to use for almost any job, and I would have said it with confidence. Today I hedge, and so does almost ev…
I almost burned ₹4,000 on Claude API overnight — so I built llm-cost-guard
I almost burned ₹4,000 on Claude API overnight — so I built llm-cost-guard Last month I wrote what I thought was a harmless script. Batch-process 847 …
Metadata Filtering Before Vector Search: The Recall Win Nobody Measures
Book: RAG Pocket Guide: Retrieval, Chunking, and Reranking Patterns for Production Also by me: Thinking in Go (2-book series) — Complete Guide to Go P…
When to Move Beyond LiteLLM (And When Not To)
LiteLLM is one of the most useful tools in the modern AI stack, and I want to say that clearly before anything else. If you're building an AI applicat…
LLM API Reliability in Production: What 10,000 Calls Taught Us About Failure Patterns
LLM API Reliability: The Reality Nobody Talks About If you have run more than a few thousand LLM calls in production, you have seen the pattern: thing…
Show HN: NeuralBridge - Self-Healing SDK for LLM-Powered AI Agents
Show HN: NeuralBridge — We Built a Self-Healing SDK for LLM-Powered Agents After months of production experience running LLM calls at scale, we realiz…