Inflation moderated as Intel and Nvidia fueled the AI trade in last week's market

Where the time actually goes in an AI coding-agent job

I run an agent-orchestration platform: it takes a ticket, spins up a git worktree, lets a Claude Code agent build the feature, and runs a deterministic verify gate before merging.

• Infrastructure costs dominate AI coding-agent job time, not model inference
• 20-30% of total job time attributed to infrastructure overhead
• Optimizations can reduce overhead to under 60 seconds, leaving model reasoning as key phase

1h ago ·dev.to

Building Revora AI — My 10-Day Voice Agent Journey 🚀

🚀 Building Revora AI: My 10-Day Voice Agent Journey From a raw audio pipeline to an intelligent, multilingual, multi-agent AI learning companion for Bharat.

• Ten-day journey creates voice-first learning companion for Indian students
• Real-time audio pipeline with LiveKit WebRTC and Murf Falcon for multilingual TTS
• Persistent knowledge base and memory via Supabase for student profiles and mastery levels

1h ago ·dev.to

Building Suraksha Sathi: My 10-Day Journey into Voice AI for Disaster Response

🌪️ Building Suraksha Sathi: A Hindi/Hinglish Voice Agent for Responsible Disaster Response Building a Hindi/Hinglish voice agent designed to provide responsible disaster-response assistance through…

• Developed Suraksha Sathi, Hindi/Hinglish voice agent for disaster response
• Ten-day project evolved into comprehensive voice system with safety guardrails
• Provided verified information, general guidance, and human escalation

1h ago ·dev.to

Measuring the real concurrency ceiling of an LLM agent runner

I wanted to raise the concurrency limits on my local AI agent runner. The UI now supports multiple terminal panes running in flight, and my gut told me the runner process itself was becoming the…

• Initial belief that runner process bottlenecked performance
• Benchmark revealed Ollama as the actual performance bottleneck
• Scheduler hardcoded one job per repo, limiting concurrency

1h ago ·dev.to

Alibaba's open-weight models have accumulated 3B+ global downloads in the past six months; Hugging Face: Google had 418M downloads while Meta had 227M in 2026 (Saritha Rai/Bloomberg)

Alibaba Group Holding's open-weight models have accumulated more than 3 billion global downloads in the past six months …

1h ago ·bloomberg.com