AI Agents
Agentic systems, orchestration, MCP and autonomous tooling.
The Essential Prerequisite for AI Success: Why Zillow Built a Baseline First
A look at why foundational engineering metrics like DORA are essential for validating AI productivity, based on insights from Zillow's engineering leadership.
Steam Deck Sales and the Cost of May's Price Hike
An analysis of the decline in Steam Deck sales volume following the May 2026 price increase, comparing its historical market dominance against recent performance metrics.
TypeScript 7.0’s Great Go Shift: How Native Performance Changed the Game
Research and evidence ledger for TypeScript 7.0 native Go compiler rewrite, performance benchmarks, architectural choices, and enterprise impact.
The Bit2Watt Risk: Could Malicious AI Workloads Trigger Grid Collapse?
Malicious GPU workloads can now exploit power-grid dynamics, turning cloud tenants into grid-destabilizing actors through high-frequency modulation. This article examines the Bit2Watt threat, the risks of AI training demand, and defines the role of agentic systems in this evolving landscape.
The End of the App-Centric Era: Enter the Agentic OS
This article explores the fundamental architectural shift occurring in personal computing, where operating systems are transitioning from app-centric models to agentic, AI-native frameworks. It contrasts established incumbent strategies (Apple, Microsoft) with emerging, vision-driven models (DroiClaw), detailing the technical, experiential, and structural changes defining the next era of personal computing.
Agentic Overreach: Why Rigid Guardrails are Handing an Edge to Open Chinese Models
Analysis of how the recent Hugging Face breach by OpenAI-powered agent swarms exposed not just security risks, but the failure of Western frontier models as forensic tools due to over-zealous guardrails.
The Best in Scaling: Real Signals from the Foundation and Scale Stages
Founders and investors at TechCrunch Founder Summit 2026 revealed that real scaling isn’t about growth hacks—it’s about building agentic data platforms that make AI reliable.
MCP's Great Overhaul: Stateless Future, Deprecated Features, and the Slog Ahead for Homebrew Implementers
The Model Context Protocol (MCP) is undergoing its most significant revision since launch, ditching protocol-level sessions in favor of a stateless architecture. This article covers the key changes, deprecated features, and implications for developers.
The 2030 IT Ops Forecast: Prepare for Chaos Before the Automation Payoff
An examination of Gartner's 2030 vision for IT Operations, detailing the expected shift to AI-driven automation, the looming challenge of console sprawl, and the critical need for robust governance frameworks.
The Transparency Trade-off: Why Multi-Agent Systems Need Clearer Audit Trails
This article examines the challenges posed by opaque multi-agent architectures, specifically focusing on the recent Codex Multi-Agent V2 updates which have prompted developer concerns. It explores the technical impact on debugging and the broader implications for enterprise governance and regulatory compliance in autonomous systems.
The Fragility of Automation: How a 'Small' Error Took Down West US
Detailed analysis of July 23, 2026 Microsoft Azure/Microsoft 365 outage caused by a bug in the automated network maintenance request system that mistakenly removed IP routes from more devices than intended.
Architecting Resilient Agentic Systems: The Shift in Enterprise AI Infrastructure
Analysis of the shift from agent framework selection to fundamental architectural considerations for enterprise agent production, prompted by the unified Microsoft Agent Framework.