Articoli
Leggi i nostri ultimi articoli, approfondimenti e aggiornamenti.
Progressive Web App vs Native Mobile App: How to Decide
October 12, 2026
A practitioner's guide to progressive web app vs native mobile app decisions: the capability gates, iOS limits, and distribution trade-offs that decide it.
Multi-Agent Orchestration with LangChain and LangGraph: Collaborate or Compete?
October 5, 2026
Kuaray Deep Dive 03: when AI agents should collaborate, when they should compete, and when one is enough. Evidence, LangGraph patterns and cost math.
Enterprise Security Questionnaire: A Startup Playbook
October 5, 2026
How to answer an enterprise security questionnaire as a startup without a security team: framework triage, a reusable answer library, evidence, and honest gaps.
OpenAI Shelved Its Own Model for Freelancing. Is Your Agent Any Better?
October 5, 2026
OpenAI killed GPT-6.1 Astra because it wouldn't stay in scope. Scope and authorization are now the benchmark that matters for enterprise agents.
Context Language Models: When Agents Edit Their Own Context
October 2, 2026
Kuaray Deep Dive 02: Meta and UW's Context Language Models let agents rewrite their own working memory. The results, what to use today, and the cache edit tax.
LLM Gateway and Complexity Routing: Cutting AI Costs with Jev
October 1, 2026
Kuaray Deep Dive 01: how an LLM gateway plus a $0.00003-per-request classifier routes each prompt to the right model and cuts the bill by up to 62%.
Human in the Loop Approval Workflow for AI Agents
September 28, 2026
A human in the loop approval workflow for AI agents is more than a Slack button. How to pick gates, model interrupts, and keep long runs durable and auditable.
You Don't Need to Know Lean. Your Coding Agent Does.
September 28, 2026
An Anthropic engineer who admits he doesn't know Lean or TLA+ used Claude Opus 5.5 to formally verify the Claude Agent SDK — and walked away with 16 PRs of real race-condition fixes.
AI Automation Consultant vs In-House Team: Who Owns It
September 21, 2026
AI automation consultant vs in-house team is a question about who operates the system at 3am. Five factors that decide it, and what a real handover looks like.
Your Agents Don't Need More Memory. They Need a Better Budget.
September 21, 2026
DeepMind's Dream-RSI froze every model weight and rewrote the search loop instead — and quietly showed that feeding agents 'lessons learned' makes them worse.