Alex

Encourage your team members to take ownership of tasks that offer opportunities for creativity and growth. Delegate only low-value, repetitive tasks to AI. This is a smarter long-term AI investment because AI cannot innovate or learn.

Claude hit the maximum length for this conversation.

This is a fatal design flaw of AI tools, especially when it happens before the first response. Claude Code works around it by compacting or clearing context. The apps should at least have the same option or a button to start a new conversation with a summary context.

Is AI fatigue a growing trend?

Is AI still lacking a "killer app" that makes it indispensable to the average user? If AI went away tomorrow, would anyone really care, aside from AI influencers and tech billionaires?

Yesterday, Sam Altman said AI will eventually replace CEOs. That's ridiculous. AI can't speak about anything without confidently inventing facts. Wait... Actually, never mind. I see it now.

The other day, my AI assistant proudly claimed success on a coding task because 95% of the files compiled.

Pragmatic AI Adoption: Leverage AI only for low-stakes grunt work that you'd rather delegate. Perfect for tasks where "good enough" actually is good enough.

When any content creator mentions vibe coding these days, I can't help but think they're out of touch. Vibe coding is so June of 2025.

Is there a term for when your AI coding assistant tries to gaslight you? If not, there should be. Seems to be happening more and more lately.

I followed a similar journey, trying every tip and trick out there to get my AI coding agent to produce something approaching production quality. Recently, it started adding todos instead of implementing functions or claiming the failing tests weren't related, all while claiming success.

Perhaps the most brilliant aspect of the current AI tools is that they are presented as a familiar chat interface that understands natural language. It requires absolutely zero skill to use AI.

Tech CEOs who are predicting AGI in the next couple of years or thinking AI will replace humans must be using a different AI than the rest of us.

An estimated $700B has been invested in AI in the last 2 years. Another $1-$2 trillion will be invested in 2026. We may not have a cure for cancer yet, but we have Sora 2.

Sometimes? With few exceptions, doesn't the nature of building AI solutions at scale force a dependency on the major models?

AI is a tool, not a strategy.

Remind me again why we are adopting AI tools in software engineering if all the data suggests they don't actually improve developer productivity.

I feel like there is a better way to motivate employees to adopt AI tools, especially in a market where top employee fear is job security.

I feel we are in the Stone Age of AI tools, using duct tape and bubble gum to integrate AI into our dev workflows. I am looking forward to the next age of AI tools that are nearly invisible to our workflows and just work without constant tweaking of prompts, context, and MCP tools.

If in two years AI tools aren't nearly invisible to our development workflows, we are doing technology wrong.

Early in my career, while at a Fortune 50 company, execs would say, "No one ever got fired for going with IBM". Later, Gartner recommendations replaced IBM. In either case, it was a CYA move for execs.

It turns out that working effectively with AI requires the same skills as working with people - good communication, clear expectations, and sufficient context.

If AI is making developers so much more productive, why are Bay Area companies adopting 996 work schedules?

I’ve started to think of LLMs working like branching timelines in a multiverse: each additional token is like another branch point, increasing the probability of drifting away from the original intent. This metaphor helps me visualize why keeping AI tasks focused and narrow produces better results.