AI adoption rate by state in 2026: all 50 states ranked by business AI use, consumer vs. business adoption, leading industries and metros, readiness, and state AI funding.
The Impact of AI on Software Development: What the Data Shows and What It Means for Enterprise Teams
An evidence-based look at the impact of AI on software development, covering productivity research, code security data, role changes, and what enterprise teams should do about it.
Context Engineering: What Your AI Assistant Sees Matters More Than What You Ask
Most of the advice I’ve seen about getting good code out of AI assistants like Claude Code is about writing better prompts. In my experience, that stopped being the main lever a while ago. What matters more is what the model can actually see when it reads your prompt: which files, which conventions, and how much noise is in the way.
People have started calling this context engineering. In this post, I’ll walk through what that means and three habits I’ve picked up, using Claude Code’s CLAUDE.md and subagent files as concrete examples.
Agentic AI in the Software Development Lifecycle: 2026 Adoption and Impact Data
Agentic AI has moved well past the pilot stage for code generation, but adoption remains uneven across the rest of the software development lifecycle. Coding assistants are now mainstream; testing, code review, CI/CD, and incident response are each at very different points on the adoption curve, with very different levels of measured payoff. This report compiles current 2026 data on …
AI Development Cost in 2026: What Businesses Actually Pay
How much does AI development cost in 2026? Explore real pricing from $5,000 to $2M, plus build-vs-buy, talent, compute, and total ownership costs