2026

๐Ÿ’ฐ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐—š๐—ผ๐—ฒ๐˜€ ๐——๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฎ๐—ป ๐—ฌ๐—ผ๐˜‚ ๐—ง๐—ต๐—ถ๐—ป๐—ธโ€”๐—™๐—ฟ๐—ผ๐—บ ๐—จ๐—œ ๐—•๐—ฎ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐˜๐—ผ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ

๐Ÿ’ฐ ๐—š๐—ฒ๐—ป๐—”๐—œ ๐—”๐—ฑ๐˜ƒ๐—ฒ๐—ฟ๐˜๐—ถ๐˜€๐—ถ๐—ป๐—ด ๐—š๐—ผ๐—ฒ๐˜€ ๐——๐—ฒ๐—ฒ๐—ฝ๐—ฒ๐—ฟ ๐—ง๐—ต๐—ฎ๐—ป ๐—ฌ๐—ผ๐˜‚ ๐—ง๐—ต๐—ถ๐—ป๐—ธโ€”๐—™๐—ฟ๐—ผ๐—บ ๐—จ๐—œ ๐—•๐—ฎ๐—ป๐—ป๐—ฒ๐—ฟ๐˜€ ๐˜๐—ผ ๐—ง๐—ฟ๐—ฎ๐—ถ๐—ป๐—ถ๐—ป๐—ด ๐——๐—ฎ๐˜๐—ฎ Just before heading out for my lunch run, I read the Reuters Institute for the Study of Journalism’s article &ldquโ€ฆ

AIEthics
๐—™๐—ฟ๐—ผ๐—บ ๐—–๐—ฎ๐—น๐—น ๐—–๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ ๐˜๐—ผ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—›๐˜‚๐—ฏ: ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—œ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ

๐—™๐—ฟ๐—ผ๐—บ ๐—–๐—ฎ๐—น๐—น ๐—–๐—ฒ๐—ป๐˜๐—ฒ๐—ฟ ๐˜๐—ผ ๐—”๐—œ ๐—”๐—ด๐—ฒ๐—ป๐˜ ๐—›๐˜‚๐—ฏ: ๐—ง๐—ต๐—ฒ ๐—™๐˜‚๐˜๐˜‚๐—ฟ๐—ฒ ๐—ผ๐—ณ ๐—–๐˜‚๐˜€๐˜๐—ผ๐—บ๐—ฒ๐—ฟ ๐—ฆ๐˜‚๐—ฝ๐—ฝ๐—ผ๐—ฟ๐˜ ๐—œ๐˜€ ๐—›๐—ฒ๐—ฟ๐—ฒ Just returning from an internal Amazon Connect deep[1] dive. I haven’t touched this particular product since maybe 5 yearโ€ฆ

AIAI AgentsAWS
Most comprehensive overview on RAG I have seen. We came a long way from vanilla RAG. Still remember

Most comprehensive overview on RAG I have seen. We came a long way from vanilla RAG. Still remember the time of arguments that RAG is just a โ€œhot fixโ€ to be obsolete soon. Reality is it is not a fix bโ€ฆ

AIArchitecture
What Anthropic is describing is the weaker version of this technique: applied externally, without pe

What Anthropic is describing is the weaker version of this technique: applied externally, without permission, at an adversarial scale. Yet 16 million exchanges suggest MiniMax found the weaker versionโ€ฆ

AI
IT System Maintenance in the age of AI

IT System Maintenance in the age of AI Introduction - The Maintenance Trap in IT You don’t need to be in the IT industry for long to have witnessed this firsthand. Even non-IT users do. Those syโ€ฆ

AISoftware EngineeringCloudArchitecture
๐Ÿ”ง ๐—ง๐—ต๐—ฒ ๐— ๐—ฎ๐—ถ๐—ป๐˜๐—ฒ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ง๐—ฟ๐—ฎ๐—ฝ: ๐—ช๐—ต๐˜† ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—œ๐—ง ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐—”๐—ฟ๐—ฒ ๐— ๐—ผ๐—ฟ๐—ฒ ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—ฃ๐—น๐—ฎ๐—ป๐˜๐˜€ ๐—ง๐—ต๐—ฎ๐—ป ๐—ฆ๐˜๐—ผ๐—ป๐—ฒ๐˜€

๐Ÿ”ง ๐—ง๐—ต๐—ฒ ๐— ๐—ฎ๐—ถ๐—ป๐˜๐—ฒ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ ๐—ง๐—ฟ๐—ฎ๐—ฝ: ๐—ช๐—ต๐˜† ๐—ฌ๐—ผ๐˜‚๐—ฟ ๐—œ๐—ง ๐—ฆ๐˜†๐˜€๐˜๐—ฒ๐—บ๐˜€ ๐—”๐—ฟ๐—ฒ ๐— ๐—ผ๐—ฟ๐—ฒ ๐—Ÿ๐—ถ๐—ธ๐—ฒ ๐—ฃ๐—น๐—ฎ๐—ป๐˜๐˜€ ๐—ง๐—ต๐—ฎ๐—ป ๐—ฆ๐˜๐—ผ๐—ป๐—ฒ๐˜€ After years of watching organizations struggle with outdated systems, I’ve written about a pattern we all know too weโ€ฆ

AISoftware EngineeringCloudArchitecture
From my perspective balancing AI Agents Agency with Control is one of the most important themes for

From my perspective balancing AI Agents Agency with Control is one of the most important themes for 2026. We need to get this right both as builders and users for AI Agentic systems. Anthropic’sโ€ฆ

AIAI Agents
๐— ๐—–๐—ฃ ๐—ง๐—ผ๐—ผ๐—น ๐—–๐—ต๐—ฎ๐—ผ๐˜€ - ๐—ด๐—ผ๐˜ ๐—น๐—ผ๐˜€๐˜ ๐—ถ๐—ป ๐—ฎ๐˜‚๐˜๐—ต๐—ฒ๐—ป๐˜๐—ถ๐—ฐ๐—ฎ๐˜๐—ถ๐—ผ๐—ป ๐—ฎ๐—ป๐—ฑ ๐—ด๐—ผ๐˜ƒ๐—ฒ๐—ฟ๐—ป๐—ฎ๐—ป๐—ฐ๐—ฒ?!

AI AgentsMCPSecurityAWS
๐ŸŽฏ 'How do we pick the RIGHT AI agent use case?

๐ŸŽฏ “How do we pick the RIGHT AI agent use case? This is the question I hear most from customers exploring agentic AI. Here’s the mechanism I run through together with the customer: The 4-Quโ€ฆ

AIAI AgentsArchitecture
Passing on control to your AI coding agent team entirely?

Passing on control to your AI coding agent team entirely? Anthropic researcher Nicholas Carlini conducted a stress test of their Claude Opus 4.6 model by deploying 16 parallel AI agents to build a comโ€ฆ

AIAI AgentsSoftware Engineering