A Scaffold at the Gate: Building AI Applications That Can Evolve
Managing AI-generated code requires software engineering principles to ensure AI apps evolve safely and reliably in production environments.
Managing AI-generated code requires software engineering principles to ensure AI apps evolve safely and reliably in production environments.
Oct 14, 2026 · 11:00 AMLiquid AI launches LFM2.5-24B-A2B, a 24B parameter Mixture-of-Experts model using 2B active parameters for fast on-device AI agents…
Oct 14, 2026 · 7:50 AMGoogle launches Gemini 4 Argon API with 1 million token output limit, boosting long-form AI tasks and efficiency…
Oct 14, 2026 · 5:03 AMMeta launches Muse Wonder models with 1M token context, competitive pricing, and strong code benchmarks for developers and…
Oct 13, 2026 · 10:53 PMStudy of 50,400 coding agent runs reveals substantial wasted work and patch churn, highlighting the need for tuned…
Oct 13, 2026 · 12:30 PMBuild a cost-efficient, lightweight RAG pipeline with scikit-learn vector search and open LLM embeddings to power retrieval-augmented generation…
Oct 13, 2026 · 11:00 AMLearn how integrating NLP with product data science boosts churn, customer lifetime value, and model accuracy by tapping…
Oct 13, 2026 · 11:00 AMAnthropic warns open AI model GLM-5.3 poses major cyberattack risks, challenging the balance between open innovation and security…
Oct 13, 2026 · 10:00 AM