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dev.to > dronzer2code > the-system-never-checked-if-you-slept-ours-reads-your-pulse-first-2hai

The System Never Checked If You Slept. Ours Reads Your Pulse First.

11+ min ago   (1491+ words) Let's Start With Hackathon Scene Main video is made by the Organizers of... Tagged with mlhacks, devchallenge, hackathon....


dev.to > felipebufelli > integracao-com-o-ifood-o-bug-que-ficou-escondido-por-semanas-e-a-investigacao-que-terminou-numa-30hf

Integração com o iFood: o problema na homologação do developer

12+ min ago   (1189+ words) Hoje eu quero falar da Temperô, um SaaS multi-tenant de gestão de restaurantes: pedidos, cozinha, caixa, comandas, várias unidades por restaurante. Stack em Node/TypeScript/Express, Postgres com pg puro (sem ORM, SQL cru, migrations numeradas). No artigo de hoje,…...


dev.to > tom_jones_230c4659491adcd > crystals-agent-memory-that-arrives-before-you-act-27h8

Crystals: agent memory that arrives before you act

12+ min ago   (1380+ words) Most agent memory is a search box. The model wonders something, a retriever runs, chunks come back. That design has one load-bearing hole: retrieval fires only when the agent already suspects it needs help. The expensive mistakes are the confident…...


dev.to > trimtabsignal > dora-metrics-slos-without-external-infrastructure-a-cloudflare-workers-approach-423c

DORA metrics + SLOs without external infrastructure: a Cloudflare Workers approach

16+ min ago   (429+ words) You do not need Prometheus, a metrics SaaS, or a dedicated observability stack to run DORA-style delivery metrics and service-level objectives. On Cloudflare Workers you already own the two things SLOs need: an execution environment and a durable store. This…...


dev.to > alifar > google-gemini-38-connects-expressive-voice-live-avatar-and-notebook-context-32h6

Google Gemini 3.8 Connects Expressive Voice, Live Avatar and Notebook Context

18+ min ago   (766+ words) For businesses, the practical significance is not one standalone feature. It is the possibility of combining more natural audio, visually grounded dialogue and reusable notebook context in customer-facing and internal AI workflows. The scope is broad, though the features serve…...


dev.to > anaalkmim > i-put-one-wrong-test-in-the-file-most-models-sided-with-the-test-410k

I put one wrong test in the file. Most models sided with the test.

30+ min ago   (762+ words) This is a submission for the Kaggle Benchmarking Challenge My day job is evaluating models: writing scorers, building reference solutions, and trying to make sure a model can't pass a task without actually solving it. The thing I think about…...


dev.to > vmodal_ai > building-a-robot-diagnostics-dashboard-with-kotlin-and-compose-2mlp

Building a Robot Diagnostics Dashboard with Kotlin and Compose

32+ min ago   (464+ words) What You Will Build In this tutorial, you will build a practical Kotlin/Android component for a robotics or Physical AI system. The design emphasizes asynchronous processing, lifecycle-aware state, real-time data handling, observability, and safe separation between the Android interface…...


dev.to > vmodal_ai > building-an-ai-robot-voice-assistant-with-kotlin-2g01

Building an AI Robot Voice Assistant with Kotlin

32+ min ago   (454+ words) What You Will Build In this tutorial, you will build a practical Kotlin/Android component for a robotics or Physical AI system. The design emphasizes asynchronous processing, lifecycle-aware state, real-time data handling, observability, and safe separation between the Android interface…...


dev.to > vmodal_ai > kotlin-edge-ai-reducing-robot-inference-latency-3e0a

Kotlin + Edge AI: Reducing Robot Inference Latency

32+ min ago   (467+ words) What You Will Build In this tutorial, you will build a practical Kotlin/Android component for a robotics or Physical AI system. The design emphasizes asynchronous processing, lifecycle-aware state, real-time data handling, observability, and safe separation between the Android interface…...


dev.to > vmodal_ai > kotlin-llm-ros-2-natural-language-robot-control-1nb2

Kotlin + LLM + ROS 2: Natural Language Robot Control

32+ min ago   (438+ words) What You Will Build In this tutorial, you will build a practical Kotlin/Android component for a robotics or Physical AI system. The design emphasizes asynchronous processing, lifecycle-aware state, real-time data handling, observability, and safe separation between the Android interface…...