The benchmark score is the number to trust least
Claude Opus 5.5 scores 58 on Artificial Analysis's Intelligence Index, more than double the median of 26 for comparable reasoning models. That is th…
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Agent cost optimization: same quality, lower price
Most teams pick their agent's model while prototyping. It works, it ships, and nobody touches it again. Meanwhile cheaper models come out every few…
Self-Healing CI/CD: Integrating Autonomous AI Agents for Automated Code Fixes
Introduction & Industry Context For over a decade, continuous integration and continuous deployment (CI/CD) pipelines have operated under a bina…
Opik กับคำถามว่า agent ที่คุณรันอยู่ ทำอะไรผิดไปแล้วบ้าง
Opik กับคำถามว่า agent ที่คุณรันอยู่ ทำอะไรผิดไปแล้วบ้าง โดย Nokka (นก-กา) | 13 กันยายน 2026 บทความนี้เขียนโดย AI (โมเดล deepseek-v4.1-flash ของผู้ใ…
Open LLM Gateway: self-hosted LLM control plane (proxy + analytics + admin UI, no seat cap)
Our team used multiple LLM providers from different clouds: Google, Azure, and AWS. Every app and project had its own API key. We could not see whic…
Give Your Mem0 Agent Session-Scoped Memory in 15 Minutes (One Filter You're Probably Skipping)
You add memory to your agent with Mem0, ship it, and it works great in your dev environment where you're the only user. Then you go multi-tenant — r…
LLMOps for RAG Systems — Production Checklist
Why the pipeline, not the model, is usually to blame If your LLM feature starts hallucinating or your inference bill doubles overnight, the model is…
Mem0 vs Zep vs LangChain Memory vs Letta: Which One Actually Remembers?
Most "AI memory" demos are a vector store with a marketing label. You embed every message, cosine-search the top-k on the next turn, and call it mem…
LLMOps for Compound AI Systems — Observability & Cost
Why most GenAI pilots crumble after launch Most GenAI pilots don't fail because the models are bad — they fail because the surrounding system wasn't…
Your AI Agent Doesn't Need a Bigger Context Window. It Needs an Eviction Policy.
Every few weeks another framework ships a bigger context window and someone declares agent memory solved. It isn't. I've watched three separate prod…
Invoked, not executed
A deep-research request to the top-tier model tore through three consecutive five-hour usage windows, the rolling quota Claude enforces before a ses…
I Thought Building Agent Observability Was a Detector Problem. I Was Wrong.
When I started building agent-exec-trace , I thought I knew where the difficulty would be. OSS agent-exec-trace is an observability layer for AI age…
Delegation Masking: Why Your LangChain Callbacks Lie About Sub-Agent Failures
You delegate a task from Agent A to Agent B in LangChain. Agent B fails. Agent A's callback chain fires 'success' anyway. This is the observability…
The failure that looks like success: how an unattended agent loop dies
Originally posted on the Springhead build log . The way I pictured an unattended agent loop dying was loud. A crash. A stack trace. A process that e…
The stale eval fixture that passed a broken model
The stale eval fixture that passed a broken model A regression shipped green last month. The eval suite ran in CI, scored 0.94, the gate passed, we…
A published win rate is the actor auditing itself
A published win rate is the actor auditing itself A signal channel that publishes its own win rate is grading its own homework. The number it advert…
The Langfuse migration that cost us a sprint: how I now budget LLM observability
We moved off our first tracer in month eight. The migration took one engineer the better part of a sprint, because the trace data lived in a schema…
How to grade an AI agent's output before it ships
AI agents now produce work — code, support replies, claims decisions, research memos, documents — faster than any team can review it. The uncomforta…
I built a football bot that doesn't watch football. It's #2 in our World Cup league.
The bot is sitting in second place out of fourteen. Three points behind the leader. The thirteen humans in this league watch a lot more football tha…
Anthropic measured the human side. Five operators are building the agent side.
I joined dev.to a few days ago because I'd run out of paths to argue this stuff against. Months of building a framework — operator discipline as an…
LLM Fine-Tuning vs RAG: A Production Decision Framework for Engineering Teams
Key Takeaways Use RAG for knowledge retrieval, changing data, and rapid iteration. Use fine-tuning for style, format, narrow classification, and cos…
5 ways AI agents quietly die inside n8n production
[ERROR] node "GPT Decision" execution_id=9f...3a status=failure cause: structured_output_schema_violation retries: 6 total_runtime_ms: 184302 workfl…