Letters
AI Job Anxieties Meet AI Job Opporunities: A LinkedIn Pulse Study Shows AI Job Creation, Growth, Careers
LinkedIn data shows that AI has helped create 2 million jobs.
Letters
Letters
How to Face Your AI Fears This Year: Introduction to a special Halloween 2026 edition of The Batch
Following our annual tradition, this special Halloween edition of The Batch treats leading AI fears.
Letters
The Four Ps — A Leadership Framework: How to Manage An AI-Native Engineering Team
What should an engineering leader such as a VP Engineering or an Engineering manager do to help their team become more proficient in AI?
Letters
Judgement Tasks Is Where Humans Have the Edge: Don’t Overgeneralize from Progress in Math and Code — The Hardest AI Problems Still Require More Work
The gulf between LLM performance on verifiable tasks vs. unverifiable tasks that require judgement is larger than most people realize.
Letters
Scaling Up for Future AI Demands: More Agents Demand More Compute
I think most people still underestimate the data center build-outs that will be required to meet demand.
Letters
We Should Be Encouraged By AI’s Cybersecurity Abilities: Why GLM-5.3’s High ExploitBench score is good news
Anthropic recently released an encouraging analysis of the cyber capabilities of open weight model GLM-5.3.
Letters
What Stage Is Your Project? Takeaways For AI Engineering: How to Adjust Your Tactics to Fit Your Project's Maturity
Moving forward on early stage, 0-to-1 projects and mature projects requires very different tactics.
Letters
Who’s Responsible for Irresponsible AI?: Separating Out AI Facts, Fears, and Fiction
The loudest voices stoking fears about AI dangers have made tremendous headway in the past two weeks.
Letters
The AI Engineering Skills Map Part 5 — Shaping the Build: AI Engineering Adds New Responsiiblities and Opportunities for Product Leadership
When you’re skilled at AI Engineering, your best work won’t be merely implementing a product that someone else spec’ed out. Instead, you will actively shape the build.
Letters
The AI Engineering Skills Map Part 4 — Coding Agents: How to Use Coding Agents Effectively from Planning to Execution and Monitoring
A key AI engineering skill is using coding agents. Your skill at steering them both to write code and to carry out non-code tasks, such as analyzing data or managing system operations, allows you to get a lot more done.
Letters
The AI Engineering Skills Map Part 3 — Fundamentals: Why Software Engineering Fundamentals Remain Essential for AI Developers
How have software engineering fundamentals changed with agentic coding?
Letters
The AI Engineering Skills Map Part 2 — AI Applications: What You Need to Know to Build and Deploy AI Applications In Real Life
I previously wrote about our AI Engineering Skills Map, with the highest level skills being (i) Building and deploying AI applications, (ii) Software engineering fundamentals, (iii) Using coding agents, and (iv) Shaping the build. In this letter, I will flesh out the first of them.