PostgreSQL 19 Beta 2 ships parallel autovacuum, in-core online REPACK, and in-core plan advice. Here's what a production-minded technical lead needs to know before touching the beta, with real SQL and config examples.
As of August 7, 2026, Cloudflare merged AI Gateway and Workers AI into a single control plane. One binding, one billing, unified observability across Cloudflare's managed GPUs and external providers. Here's what changed and what it means for AI infrastructure decisions.
All four major clouds shipped agent code sandboxes in the same quarter. Four isolation architectures, four trade-off profiles. Here's the technical comparison and decision framework for Tech Leads picking the right sandbox for their AI stack.
AWS, Microsoft, and Google are all rebuilding agent runtimes around the session — not the request. Here's what this architectural shift means for teams building production AI systems.
A deep technical dive into Atlassian's cloud migration journey — stateless compute, Tenant Context Service, CQRS, and why they never rewrote Jira.
A Tech Lead's field notes from shipping production AI agents — why custom agents still matter, how to avoid the infra money pit, the architecture pattern that actually works, and why understanding your client matters more than understanding transformers.
Microsoft just released three foundational AI models — MAI-Transcribe-1, MAI-Voice-1, and MAI-Image-2. This isn't just a product launch. It's a strategic shift that every enterprise architect should understand.
Alibaba just released its third proprietary model in days. Google's Gemini Flash-Lite costs $0.25 per million tokens. NVIDIA's Nemotron runs 2.2x faster than GPT-OSS-120B. The LLM cost war has arrived — here's what it means for architects choosing AI infrastructure in 2026.
Google just made Gemini Code Assist free and priced Flash-Lite at $0.25/M tokens. After 15 years building production systems, here's what this cost collapse really changes about how we build.
GPT-4 level AI cost $30/M tokens in 2023. Today it's under $1. Here's the technical architecture that lets you capture 90%+ of that savings without sacrificing quality.
A comprehensive guide to the modern free-tier tech stack that lets you build, deploy, and scale a startup for roughly $20/month. No servers. No DevOps team. No funding required. Just an idea and WiFi.
We integrated Azure OpenAI into a client's enterprise platform. Here's the practical stuff — networking, content filtering, cost surprises, and what the docs don't cover.
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