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News

DEV Community
dev.to > sonam_50a41a4ced7e6b4f3fa > build-a-natural-language-ivr-with-telnyx-call-control-and-ai-inference-24l5

Build a Natural Language IVR with Telnyx Call Control and AI Inference

48+ min ago   (224+ words) Nobody likes phone trees. "Press 1 for billing, press 2 for support." Miss an option? Start over. It is friction at its worst. The voice-ivr-with-agent-backend example replaces that with a natural language conversation. Callers just say what they need, and the app…...

DEV Community
dev.to > keymelgaston > can-you-type-named-slots-in-astro-short-answer-not-yet-4707

Can You Type Named Slots in Astro? (Short Answer: Not Yet)

1+ hour, 28+ min ago   (336+ words) Someone asked me this in the Astro Discord recently, and I went looking for a real answer instead of guessing. Sharing it here because it's a question that comes up a lot, and the honest answer isn't what most people…...

Android Authority
androidauthority.com > google-calendar-lets-you-avoid-rsvps-3704581

Google is finally fixing one of Calendar's most annoying meeting features

1+ hour, 43+ min ago   (343+ words) Ryan started his career in the field of science, bouncing from lab to lab measuring chemicals, writing reports, and so on. After deciding to pursue his interest in covering video games and technology, he traded in his lab coat for…...

@G2dotcom
learn.g2.com > low-code-machine-learning

State of Low-Code Machine Learning in 2026: Why Deployment Takes 4.5 Months

2+ hour, 32+ min ago   (289+ words) Low-code ML platform deployment averages 4.5 months, the slowest of any category on G2. The bottleneck is data readiness and integration, not modeling....

dzone.com
dzone.com > articles > monitor-ai-models-alerts

How to Monitor AI Models Without Drowning in Alerts

3+ hour, 25+ min ago   (508+ words) In this article, we will discuss monitoring AI models wisely. Prioritize actionable alerts so that real issues stand out instead of getting lost in the noise. When a team learns to disregard 95% of the issues, they are very likely to…...

MarkTechPost
marktechpost.com > 08/28/2026 > glm-5-3-flash-vs-qwen3-8-flash-next-two-chinese-ai-labs-independently-converge-on-the-same-model-architecture

GLM-5.3-Flash vs Qwen3.8-Flash-Next: Two Chinese AI Labs Independently Converge on the Same Model Architecture

3+ hour, 13+ min ago   (384+ words) Two frontier open-weight models shipped within a day of each other this week. Z.ai released GLM-5.3-Flash, a 320B-parameter multimodal MoE model with 18B active parameters. Alibaba’s Qwen team released Qwen3.8-Flash-Next, a 125B model with 6B active parameters that previews the Qwen4 architecture. GLM…...

DEV Community
dev.to > mazenaly256 > part-3-automated-testing-setup-22h6

Part 3: Automated Testing Setup

3+ hour, 19+ min ago   (464+ words) Now I am building the CRUD API endpoints for the system, there is no WebSockets and no event-driven architecture and there is not any advanced concepts. I wanted to start setting up the testing environment and workflow from the beginning....

DEV Community
dev.to > serguey_shinder_4ab9b87b1 > un-deploiement-doit-etre-ennuyeux-4bka

Un déploiement doit être ennuyeux

3+ hour, 48+ min ago   (537+ words) Un déploiement devrait être la chose la plus ennuyeuse de ta semaine. S'il est excitant, c'est mauvais signe. Au début de ma carrière, les mises en production étaient des événements. On retenait son souffle, on croisait les doigts, quelqu'un exécutait…...

DEV Community
dev.to > brunodev1999 > how-i-built-an-automated-cloud-warehouse-pricing-tracker-52i7

How I built an automated cloud warehouse pricing tracker

4+ hour, 1+ min ago   (378+ words) Every "BigQuery vs Snowflake cost" article I found while researching this was at least a year old, and cloud pricing changes often enough that the numbers were already wrong. I wanted something that stayed correct without me touching it, so…...

DEV Community
dev.to > gerale30 > the-ai-api-will-fail-on-you-heres-how-i-structure-fastapi-to-handle-it-53ia

The AI API Will Fail on You — Here's How I Structure FastAPI to Handle It

4+ hour, 58+ min ago   (420+ words) That was the moment it clicked for me: when you put an AI API behind your own API, you've inherited two sets of failure modes — yours and theirs. Rate limits, timeouts, malformed JSON in the response, the model deciding to…...