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AI Engineering Insights

Research, analysis, and practical guides for engineering teams building with AI agents. Data-driven insights from real production deployments.

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Research

The SKILL.md Adoption Trajectory: From Convention to Standard

How a simple markdown file became the de facto standard for AI agent capabilities. We trace the adoption curve from early adopters to enterprise rollouts, analyzing what made SKILL.md succeed where other agent standards failed.

Feb 11, 2026 · 18 min read · aictrl Research
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Research
The SKILL.md Adoption Trajectory: From Convention to Standard
How a simple markdown file became the de facto standard for AI agent capabilities. We trace the adoption curve and analyze what made it succeed.
Feb 11, 2026 · 18 min read
aR
Guide
SKILL.md Standard: The Enterprise Implementation Guide
A comprehensive guide to implementing the SKILL.md standard across your organization, from initial pilot to full rollout with governance.
Feb 7, 2026 · 22 min read
aR
Research
The Reasoning Race: From 2.7% to 53.1% on Humanity's Last Exam
AI reasoning exploded in 12 months. Claude Opus 4.6 leads HLE at 53.1%, GPT-5.2 dominates math. Analysis of benchmark saturation, model specialization, and enterprise ROI.
Feb 5, 2026 · 10 min read
aR
Analysis
The SaaSpocalypse: Which Software Categories AI Agents Will Replace First
Our analysis of 50+ SaaS categories reveals which are most vulnerable to AI agent disruption and the timeline for each wave of replacement.
Feb 5, 2026 · 16 min read
aR
Research
The Swarm Paradox: Why More AI Agents Often Means Worse Results
Our research reveals that scaling AI agent teams beyond 4-5 agents introduces coordination overhead that degrades overall task performance.
Feb 5, 2026 · 12 min read
aR
Research
The AI Electricity Crisis: Why Agent Compute Costs Will 10x by 2027
Energy consumption from AI agents is growing faster than data center capacity. We analyze the economic implications for engineering teams.
Feb 4, 2026 · 15 min read
aR
Research
The Rise of Browser-Use Agents: From Selenium Scripts to Autonomous Navigation
Browser-use agents are evolving from simple automation to genuine reasoning about web interfaces. We chart the trajectory and key inflection points.
Feb 3, 2026 · 11 min read
aR
Research
Why the Framework You Choose for AI Agents Actually Matters
Our comparative analysis of LangGraph, CrewAI, AutoGen, and native implementations shows surprising performance differences in production.
Feb 2, 2026 · 14 min read
aR
Research
SWE-Bench Evolution: How Agent Performance Is Rewriting Software Engineering
An analysis of SWE-Bench performance trends and what the rapid improvement curve means for the future of software engineering teams.
Feb 2, 2026 · 13 min read
aR

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