OpenAI just extended the Responses API with a shell tool, hosted container workspace, context compaction, and reusable agent skills. Here's what this means for teams building real agentic workflows — with hands-on examples.
This week's top reads for Tech Leads & Engineers: the AI coding tools war heats up, Stripe's autonomous agents ship 1,300 PRs/week, software supply chain becomes the #1 attack vector, and engineering leadership rethinks itself.
The CNCF just made Dapr Agents v1.0 generally available. After years of AI agent frameworks focused on intelligence, here's one that focuses on survival — durable workflows, state management, and production-grade reliability on Kubernetes.
When everyone uses AI/Agents, models become a commodity. That's when Data becomes the real differentiator — deciding whether your agent runs 'for fun' or 'accurately, optimally, and consistently'. AI Skills and Data Skills are an inseparable duo.
Gartner says 40% of enterprise apps will embed AI agents this year. But 40% of agentic projects will be scrapped by 2027. Here's what separates the teams that ship production agents from those that get stuck in pilots forever.
94% of engineering leaders report agentic AI skills gaps. Here's what the tech lead role actually looks like in 2026 — and the skills you need to stay relevant.
A practical, hands-on guide to automating Developer, QC, and Tech Lead workflows across three maturity levels — Manual, Agentic (Claude Code), and Fully Autonomous (NanoClaw). With mermaid diagrams, real configs, BDD examples, and step-by-step instructions you can implement today.
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