Good piece on enterprise AI security. The good news, it’s all the same shit. The bad news news, it’s all the same shit. Yes, and: That’s it! The magic sauce is that LLMs are amazingly good at taking this big chunk of text and using their vast training data to produce the most appropriate next chunk of text - and the vendors use complicated system prompts and extra hacks to make sure it largely works as desired.

Forrester seems all but say “Salesforce is full of shit”: Salesforce claims that its (newly renamed) Agentforce 360 product has 6,000 paying customers. But in customer conversations and sessions, we saw little adoption or impact from AI agents – lots of potential but a long way to go for a meaningful ROI. More faint praise in the rest. 🔗 Salesforce Dreams Of The Agentic Enterprise

Everyone needs to stop thinking about enterprise AI as a way to fire people and think about how to use AI to make people more productive: Forrester’s analysis found that using AI for financially driven layoffs can backfire: 55 percent of employers regret laying off workers because of AI. More people in charge of AI investment expect it to increase headcount (57 percent) than to decrease it (15 percent) over the next year.

With some generalization, this is good advice for any pitch, from corporate presentations to call for papers. The point that you need to make it easy for other people to advocate for you is a good one, rarely mentioned. 🔗 Setting up other people to pitch your idea for you

Honestly, this checks out. Embabel is an enterprise play, and one where Java developers' skills are on point. Spring has proven itself for business logic, systems that are built to last, event-driven systems, transaction systems and so on. 🔗 Java relevance in the AI era – agent frameworks emerge.

This is has some new material in it, not just the same old transformation discussion from agile and DevOps. So: thumbs up! 🔗 8 platform engineering anti-patterns

Meanwhile, what’s going on with developers outside of the GenAI echo chamber. What’s up with people disliking Jira so much, yet using it so much? 🔗 The Pragmatic Engineer 2025 Survey: What’s in your tech stack?

”Tech is a pop culture. Very few of the decisions made in the industry are made rationally or empirically. Studies and tests are used to justify the emotional decisions of the executive or management class. Infrastructure and stack decisions are made hedonistically – “cool” tech that makes the engineers and devs feel good about themselves almost always gets a priority over “boring” tech that has no risks. The industry, especially the software side of tech, is driven by emotion and a sense of what is fashionable.

With some generalization, this is good advice for any pitch, from corporate presentations to call for papers. The point that you need to make it easy for other people to advocate for you is a good one, rarely mentioned. 🔗 What Grant Reviewers Actually Look For (and What They Ignore)

The decline of the US Rust Belt is directly linked to the rise of China, driven by US free trade policies that incentivized companies to relocate manufacturing overseas for cheaper labor and less regulation.