From Prompt Tweaks to Eval Loops: Operating Copilot and Coding Agents with Evidence
How to run coding agents safely in teams using scenario-based evaluations, policy budgets, and release rings.
Alex Chen
Writes about AI, product strategy, and the intersection of technology and business.
133 articles
Enterprise Rollout Guide for Copilot CLI and Agent Skills
How to move from ad hoc AI coding usage to a governed Copilot CLI operating model with measurable delivery impact.
Beyond Tokenmaxxing: How Engineering Teams Measure Real AI Coding Productivity
A measurement framework for distinguishing genuine throughput gains from AI-generated busywork in software teams.
Claude Opus 4.7 and Claude Design: An Enterprise Workflow for Design-to-Delivery
How enterprise teams can combine Claude Opus 4.7 and Claude Design to reduce handoff latency between product, design, and engineering without losing governance.
From Prompted Mockups to Delivery: Operating Claude Design with Opus 4.7
A design-to-code operating model for teams adopting Claude Design and Canva-connected AI prototyping workflows.
Tokenmaxxing, Approval Fatigue, and Why AI Throughput Metrics Mislead Teams
A practical framework for measuring AI-assisted engineering productivity without rewarding noisy output or blind approvals.
Ai Search Primitive Agent Memory Retrieval 2026: Production Architecture Guide
A publication-ready long-form guide based on today's platform and developer trend signals.
OpenAI Agents SDK Sandbox Era: Enterprise Patterns for Safe Long-Horizon Automation
A deployment playbook for sandboxed agent execution, harness design, and risk controls after the latest OpenAI Agents SDK update.
AI Coding at Scale Needs Verification Pipelines, Not Just Faster Generation
As agentic coding accelerates output, engineering organizations need verification-first delivery systems with explicit trust boundaries and measurable quality gates.
Edge AI in 2026: Operating Local Model Runtimes Across AI PCs, Robotics, and Enterprise Workflows
A practical framework for teams deploying local and edge AI runtimes, balancing latency, privacy, safety, and fleet-level governance.
Enterprise AI Delivery in 2026: Shared Engineering Artifacts, Auditability, and Scale
How enterprises can turn AI-assisted development into a repeatable delivery system using shared artifacts, policy controls, and measurable rollout governance.
From SDK Features to Operating Safety: An Enterprise Playbook for Modern Agent Stacks
A practical framework for converting new agent SDK capabilities into measurable reliability, safety, and rollout controls.
From Browser-Driven Agents to API-First Automation: A Migration Playbook
Reduce fragility and cost by moving agent workflows from UI scraping to structured APIs, contracts, and fallback design.
Amazon-Globalstar Deal: What Satellite + Edge Convergence Means for Enterprise Platform Teams
A strategy guide for enterprises responding to satellite connectivity becoming part of mainstream cloud and edge platform design.
Confluence Remix and Embedded Agents: A New Enterprise Pattern for Idea-to-Prototype Flow
What Atlassian’s Remix and third-party Confluence agents signal for enterprise product delivery workflows.
AI Datacenter Expansion vs Community Backlash: A Risk Model for Infra Leaders
A practical framework to balance AI capacity plans with regulatory, social, and energy constraints.
Copilot Review Metrics Are Here: How to Build an Engineering Operating Model That Actually Improves
Using PR throughput, review-assisted merge metrics, and cycle-time signals to run AI-supported software delivery as a measurable system.
Agentic DevTools in Production: Governance Patterns from Cursor 3, Copilot CLI, and Enterprise SCIM Rollouts
A practical governance blueprint for organizations scaling AI coding agents without losing security and review quality.
Cursor 3 and the Agent-Centric IDE Shift: A Governance Blueprint for High-Throughput Teams
How to operationalize agent-first coding workflows after Cursor 3: task contracts, review boundaries, telemetry, and secure rollout patterns.
Agentic Coding at Scale: Governance Patterns for Desktop, CLI, and Plugin Integrations
How engineering organizations can safely adopt autonomous coding workflows across local apps, CLIs, and SaaS integrations.