Articles on deploying AI into real operations

How technical leaders distinguish real engineering objections from political resistance expressed in engineering language — with a pushback diagnostic for finding what a 'security concern' is actually protecting.

AI is compressing the cost of producing code. What it doesn't compress: choosing the right problem, earning trust, explaining why work matters, and aligning people around action. Why communication is becoming a core engineering skill.

A practical framework for multi-agent coding systems: when decomposition helps, what coordination actually costs, handoff contracts, an evaluation framework, and a decision matrix for choosing an architecture.

A production Claude Code workflow from operational problem to deployed feature: repository inspection, plan mode, permission boundaries, branch isolation, continuous validation, diff review, and implementation reports.

A risk-tiered permission design for Claude Code: branch and filesystem isolation, command allowlists, permission modes, sandboxing, stop conditions, and which tasks deserve full autonomy versus supervision.

How to configure OpenCode across multiple LLM providers: global vs. project config, credential handling, provider blocks, model selection, local models via OpenAI-compatible endpoints, and troubleshooting.