Deep dives into software architecture, developer tools, programming best practices, databases, infrastructure, and the technical decisions that define modern software.
81 articles
The hard part of agentic AI is letting software touch real systems without creating a security incident. Build agents like production services: scoped identity, policy gates, and replayable traces.
Sarah Chen
Chat UIs were the warm-up. The real 2026 stack is tool-gated agents, permissioned retrieval, and evals that catch failures before customers do.
James Okonkwo
If your agent can spend money or change systems, prompts aren’t guardrails. This 2026 stack focuses on controlled execution: typed tools, budgets, traces, and approvals.
Elena Rostova
If your agent can click buttons in Jira, Stripe, or GitHub, “good answers” don’t matter. What matters: permissions, traces, evals, rollbacks, and cost caps.
Priya Sharma
Copilots write drafts. Agents touch Jira, GitHub, and cloud APIs—and that forces you to treat prompts like code: permissioned, tested, observable, and budgeted.
Sarah Chen
Most agent failures aren’t model issues—they’re missing IAM, budgets, and replayable logs. Here’s the production checklist operators use to ship autonomy without chaos.
Marcus Rodriguez
Training is a project. Inference is rent. Here’s what operators change—routing, caching, batching, token budgets, and GPU utilization—so costs drop without wrecking UX.
David Kim
Most “agents” fail for boring reasons: flaky tools, messy state, and missing approvals. Here’s the production stack teams use to ship automation without creating pager noise.
Alex Dev
Agents don’t fail like apps. They fail like distributed workflows with fuzzy state—then leave no paper trail. Here’s how to build agents you can measure, cap, and audit.
Marcus Rodriguez
Most “agents” fail for boring reasons: runaway spend, brittle tools, and missing audit trails. Here’s the 2026 build-and-buy bar for autonomy you can govern.
Elena Rostova
Agents fail in production for boring reasons: permissions, eval gaps, missing logs, and runaway cost. Here’s the stack that turns “autonomous” into “auditable.”
Priya Sharma
Agentic AI isn’t a chat feature anymore. If your system can change records or move money, you need permissions, proofs, and cost controls—by design.
James Okonkwo
Agents don’t break because the model is weak. They break because you shipped tool access without gates, tests, and budgets—and production always collects the debt.
Tariq Hasan
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