Deep dives into software architecture, developer tools, programming best practices, databases, infrastructure, and the technical decisions that define modern software.
31 articles
In 2026, inference—not training—became the runaway cost center. Here’s how top teams are redesigning stacks, budgets, and reliability to ship AI features without blowing the margin.
David Kim
In 2026, “AI ops” is becoming its own discipline. Here’s how leading teams are building an AI control plane to ship agents safely, predictably, and profitably.
Jessica Li
In 2026, the hard part of “agentic AI” isn’t prompting—it’s reliability, identity, and auditability. Here’s how leading teams are shipping agents safely at scale.
Sarah Chen
In 2026, the winners aren’t shipping chat widgets—they’re building agentic systems with auditable tool access, governed data paths, and predictable unit economics.
James Okonkwo
AI agents are moving from demos to org-wide automation. Here’s how top teams in 2026 design agent stacks that are cheaper, safer, and measurable.
Elena Rostova
AI agents are moving from demos to real operational work. Here’s how top teams are designing, measuring, and governing agent fleets without shipping chaos.
Priya Sharma
In 2026, AI “copilots” are table stakes. The real leverage is agentic workflows with guardrails, observability, and cost control.
Sarah Chen
AI agents are leaving demos and entering core workflows. Here’s how operators are designing identity, safety, and ROI so autonomous systems can run real production work.
Marcus Rodriguez
Inference has become the dominant AI cost center. Here’s how leading teams are redesigning stacks—models, routing, caches, and GPUs—to slash spend without hurting UX.
David Kim
Agentic AI is moving from demos to durable systems. Here’s how leading teams are shipping agents with measurable ROI—without blowing up reliability or security.
Alex Dev
Teams are shipping AI agents faster than they can control them. Here’s how top operators are designing reliable, auditable, cost-contained agent systems in 2026.
Marcus Rodriguez
AI agents are moving from demos to real operations. Here’s how founders and engineering leaders ship agentic systems that are measurable, secure, and cost-controlled in 2026.
Elena Rostova
Agents are moving from demos to core workflows. Here’s the 2026 playbook for making them reliable: evals, guardrails, identity, and cost control.
Priya Sharma