Timely insights on leadership practices, technical decisions, and team building for CTOs and technical leaders.
RSS FeedAgentic software is rapidly becoming an enterprise runtime: teams are standardizing governance, knowledge supply chains, and production infrastructure to make multi-agent, multi-model systems...
AI agents are moving from developer-side copilots to enterprise-grade, governed participants in building apps and data products—driving new requirements for policy, provenance, knowledge APIs, and...
AI is moving from “copilot” to “coworker”: agentic systems are being wired into knowledge, incident response, and data platforms, forcing CTOs to rethink reliability, accountability, and metrics for...
AI is entering its operational phase: companies are shipping AI features that rely on large internal data footprints while simultaneously facing stronger regulatory scrutiny and needing serious...
Enterprises are rapidly moving from experimenting with AI to deploying agentic systems that act like employees—triggering an urgent need for agent identity, policy-as-code governance, and new...
AI is shifting from a feature to critical infrastructure—subject to geopolitical controls, rapid vendor volatility, and new production stack complexity—forcing CTOs to treat models and agents like...
Engineering orgs are rapidly standardizing the “agent integration layer” (MCP, context graphs, composable infra abstractions) so AI assistants can safely execute real work across infrastructure,...
Agentic AI is shifting from chat-based assistants to tool-using systems embedded directly into platforms (browser, developer runtimes, security review, and data pipelines).
Conversational UX vs user agents: should my site have chat, or integrate with the user’s agent?
Engineering organizations are moving from ad-hoc copilots to agent-native workflows: tools, platforms, and internal systems are being redesigned so AI agents can run jobs, change code, and execute...
AI agents are shifting from copilots to autonomous executors that touch production systems and enterprise data—driving a new wave of “agent infrastructure” focused on sandboxing, permissions,...
AI is moving from experimental copilots to operational, governed systems: domain context layers, platformized pipelines, and audit-ready controls are becoming the differentiators as frontier models...
AI agent deployments are shifting from prompt-centric prototypes to context-engineered, governed, and cost-managed production systems—where the differentiator is the enterprise “context layer” (data...
Agent platforms are getting “real” — and the control plane is the product
AI is entering its “production era”: agents are being treated like governed software services, not experiments—driven by new runtimes and guardrails, better data modeling foundations, and hard...
AI is shifting from experimentation to production-grade agentic systems, forcing CTOs to treat governance, data modeling, cost routing, and automated change management as first-class platform...
In a 90 day hiring sprint, one semiconductor company added 60 plus engineers and scaled recruiters from 1 to 9, then back down again.
In tech and media, annual turnover runs at 12.9% versus 10.6% across industries. And 79% of people who quit say they left because of a lack of leadership, not a lack of perks.
Enterprises are moving from “AI features” to AI as an operational platform: managed agent/workflow orchestration is becoming a first-class SaaS layer, funded by aggressive internal reprioritization...
A new “edge autonomy + enforceable guarantees” wave is emerging: on-device AI makes more product functionality local and agentic, while regulators and customers push for stronger safety controls and...
AI is entering a ‘production reality’ phase where data modeling quality and cost controls (token routing, incremental billing, faster serverless provisioning) matter more than new model demos.
Engineering one-liners that save projects: “camel by committee” and “9 women, 1 baby”
In 2025, platform engineering hit a real trough of disillusionment in a lot of orgs. I keep hearing the same complaints: high cognitive load, weak business alignment, and IDPs that never quite get...
WWDC 2026 predictions: AI-enhanced Apple stack, AI Store, and security privacy focus
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