Tariq writes about cloud infrastructure, DevOps, CI/CD, and the operational side of running technology at scale. With experience managing infrastructure for applications serving millions of users, he brings hands-on expertise to topics like cloud cost optimization, deployment strategies, and reliability engineering. His articles help engineering teams build robust, cost-effective infrastructure without over-engineering.
AI agents are now “staff” across engineering, support, and sales ops. Here’s how leadership changes when work is orchestrated, audited, and priced per outcome.
Autonomous agents are moving from demos to production. Here’s the 2026 playbook for building, evaluating, and operating agentic systems that actually work.
Agentic features are moving from demos to durable product surfaces. Here’s how leading teams ship trustworthy automation—with margins, metrics, and guardrails.
In 2026, “AI features” aren’t enough. The winners are shipping agentic runtimes—policy, observability, evals, and cost controls—so AI can safely do work in production.
Agentic AI is moving from demos to durable workflows. Here’s how 2026 teams design, benchmark, govern, and ship reliable multi-agent systems without blowing up cost or risk.
Agentic AI is moving from demos to durable ops. Here’s the 2026 stack, costs, and controls teams use to deploy multi-agent workflows that don’t drift, leak, or stall.
In 2026, the winners aren’t shipping “chat.” They’re shipping durable agents with memory, governance, and unit economics that hold up under real traffic.
In 2026 the model race is about distribution, governance, and cost curves—not just IQ. Here’s how developers can build defensible products amid shifting APIs and platform gravity.
How edge computing is reshaping application architecture, from AI inference to globally distributed databases.
Tariq Hasan
18 min read
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