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10,000 Agents, Zero Tokens: Why the Best AI Architectures "Skip" the LLM

1. Introduction: The Scalability Paradox of Agentic Systems In the boardroom, AI agents are promised as the ultimate workers—autonomous, reasoning, and tireless. In the engineering trenches, however, we face a brutal scalability paradox: the more agents you deploy, the slower, more expensive, a

Dev.to (EN Zone)
AI & ML

FreeLLMAPI: One OpenAI-Compatible Endpoint for 34 Free LLM Providers

Almost every AI lab now hands out a free tier. Google, Groq, Cerebras, Mistral, Cohere, NVIDIA, Cloudflare, OpenRouter, and a couple dozen more. Each one on its own is small. A few million tokens a month, a few thousand requests a day. Stacked together, they turn into something you can actually prot

Dev.to (EN Zone)
Cloud

.NET Native AOT: Parte 2 — JIT, R2R e AOT em Benchmarks

Introdução Não existe um vencedor universal na comparação entre .NET Native AOT, JIT e ReadyToRun. Cada modelo de publicação otimiza uma parte diferente do sistema: Native AOT elimina o JIT em execução e reduz muito o tempo até a primeira resposta; ReadyToRun antecipa parte da compilação sem aband

Dev.to (EN Zone)
Cloud

ArgoCD SSO with AWS IAM Identity Center (via Dex SAML)

A short, reproducible guide to wiring ArgoCD login to AWS Identity Center using ArgoCD's bundled Dex as a SAML service provider. Works whether IdC's identity source is its own directory or an external IdP (e.g. Google), with a couple of non-obvious gotchas that will cost you hours if you miss them (

DEV Community
Backend

The request we could not follow across four services

A customer sent us a screenshot of a 500 error with a timestamp. That was all we had. The request had passed through an API gateway, an auth service, an orders service, and a payments service, and each of them logged beautifully in its own format, into its own index, with no shared identifier anywhe

DEV Community