That was too long. Had AI summarize the article. Is this about right? Here is a summary with some additional context: 1. AI competition is heating up, with

That was too long. Had AI summarize the article. Is this about right? Here is a summary with some additional context: 1. AI competition is heating up, with companies like OpenAI, Anthropic, Google, Meta, etc investing heavily and releasing new models. There is also a proliferation of AI startups raising large funding rounds. OpenAI fired then quickly rehired its CEO Sam Altman, causing confusion. 2. Machine learning engineers are in extremely high demand in the job market, receiving lavish recruiting offers. Meanwhile, other engineers like backend developers or mobile devs are struggling to move jobs since companies are mainly focused on security and ML hires. ML people get showered with "bear spray" level recruiting interest. 3. Most companies, even big Fortune 1000 brands, are still only in the initial stages of developing a concrete AI strategy and execution plans. There's a lot of "we're working on it" talk but not much to show yet. Companies are slow to focus on this due to inertia and competing internal priorities. 4. Metrics like "completion acceptance rate" (CAR) for coding assistants don't actually quantify developer productivity gains. However, some companies wrongly want to use CAR to closely monitor developers. 5. Cody, a new coding assistant from Sourcegraph using retrieval-augmented generation, leverages Sourcegraph's code search and understanding strengths. It is now generally available. Comments in code can improve Cody's understanding. Sourcegraph has developed Cody quickly thanks to its existing infrastructure.