CortexOps vs LangSmith: Which AI Agent Observability Tool Is Right for You?
If you are building LLM agents with LangGraph or LangChain and need production observability, you have probably looked at LangSmith. You may also have…
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
Building an AI SRE That Learns From Every Outage: Inside Nexus Sentinel
Every engineering team has experienced it. A production incident happens at 2 AM. An engineer joins the bridge call, opens dashboards, checks logs, se…
Why Your Gemini Bill Doesn't Match the Model Names
Why Your Gemini Bill Doesn't Match the Model Names tl;dr - Across roughly 3,300 paired skill-eval runs, Gemini 3.5 Flash cost $1.05 per task against G…
introducing gh-aw-fleet
I started using GitHub Agentic Workflows a couple months ago: small Claude/Copilot agents that run inside your CI for code review, daily doc updates, …
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…
hosted coding agents make observability a product feature
The laptop was never the interesting part of coding agents. It was just the first convenient runtime. Your laptop has the repository, the shell, the s…
The Heuristics Say Don't
A culture that only records its disasters ends up with a biased archive. Wars documented, plagues chronicled, collapses catalogued. The quiet decades …
@hazeljs/agent 1.0.1: Production Hardening for Real Deployments
We are shipping @hazeljs/agent 1.0.1 — a patch release focused on operational durability , resilience consolidation , and production observability . I…
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…
[NEW] I spent 3 months teaching AI agents my codebase. They forgot by morning. Every. Single. Day.
Every morning for three months, the first thing I did was re-explain myself to my own tools. Not the code. The code was fine. I mean everything around…
What is an AI Employee? A Practical Definition for 2026
Most "AI agent" products in 2026 are GPT wrappers with a nice UI. They respond to prompts. They don't run in the background. They don't have KPIs. The…
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 …
Migrating Off OpenClaw Without Downtime — and the Offset That Made Hermes Look Dead
A while back I wrote a comparison of OpenClaw and Hermes — two open-source, self-hosted AI agents I run on the same bare-metal box, both wired to Tele…
GhostPR : MCP For Future
AI coding assistants are becoming very good at reading code. But they still struggle with something humans rely on constantly: understanding why the c…
Define the state of our agent
Meta: Learn how to eliminate LLM hallucinations in career coaching apps using Agentic Workflows and RAG, as seen in the architecture of CVChatly. The …
BoxAgnts Tool System (7) — Skill Templates, Agent Proxies, and Cron Scheduling
BoxAgnts' tool system, from WASM sandbox instruction-level isolation to the Tool trait's unified abstraction to the Provider layer's multi-model adapt…
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…
Claude Fable 5 vs Opus 4.8: The Mythos Hype Meets Reality
For months, the most interesting model at Anthropic was one we could not use. Mythos was the internal system the company said was too capable to relea…
agentic workflows are being domesticated by actions
GitHub's Agentic Workflows preview has the kind of headline that makes people reach for the wrong conclusion. Natural language Markdown can turn into …
Coding Agents over Telegram, Part 1: Topics Are Agents
You already run coding agents (opencode, Codex, Claude Code) in tmux on some remote box: a dev server, a cloud instance, a GPU node. They work. The pr…
Google's Dev Signal is brilliant. It's also a security nightmare waiting to happen.
Google's Dev Signal is brilliant. It's also a security nightmare waiting to happen. Google just published a great article about Dev Signal — a multi-a…
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…
KeepAI: a local, open-source API hub that lets AI agents use your apps safely
AI agents are getting good at doing things — triaging your inbox, updating a Notion doc, opening a GitHub issue, moving a Trello card. But to do any o…
BoxAgnts Tool System (6) — Multi-Provider Adaptation and the Agent Query Loop
BoxAgnts' tool system, from the bottom-level WASM sandbox to the top-level Tool trait, has solved "how tools run safely." But tools ultimately need to…
What only the pixels knew: giving a canvas agent eyes
At 05:53 on Friday morning, a session on Easel got asked a simple question: "What's that image?" The agent answered honestly. It located both images o…
The Agent Gets the API Key. You Get the Guinea Pig Seat.
A friend texted me this week, and within a year someone you know is going to send you the same message. He had seen that you can now connect an AI dir…
Stop Your Agent From Replying Twice: Dedup Patterns
Ever watched an email agent reply to the same message twice? The recipient gets two near-identical responses seconds apart, screenshots them, and your…
Structuring Raw Interaction Data in AI Agents using Weaviate Engram
AI agents generate a substantial amount of raw interaction data during operation. When developers store this data as an ever-growing context blob and …
Will AI Agents Replace Programmers?
The question used to be a thought experiment discussed in tech forums between sips of coffee. In 2026, it feels a lot more personal. Large language mo…
I stopped trusting “same answers, fewer tokens” after watching an agent lose 1 field name and burn 3 hours
I used to hear the pitch for context compression and think: sure, makes sense. Smaller prompts. Lower latency. Lower cost. Same output quality. Then I…