This was one of those weeks where everything I read seemed to converge on the same theme: the ground is shifting faster than most of us realize. AI isn’t coming for our workflows someday – it’s already reshaping how products get discovered, how code gets written, and whether your product-market fit survives the next 12 months.
Here’s what caught my attention.
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1. Product Market Fit Collapse: Why Your Company Could Be Next
If you’re in SaaS, this is the chart that should scare you. Reforge makes the case that PMF isn’t a destination – it’s a treadmill. And AI just cranked the speed to max. Chegg lost 87.5% of its valuation. Stack Overflow’s traffic cratered. The pattern is the same: AI proves value for a use case, and the incumbent’s window to adapt slams shut before they even recognize the threat.
This one hit me personally. SermonCentral has been the go-to sermon library for over two decades. BUT the question I keep coming back to is: what happens when pastors can generate sermon outlines with AI in seconds? The PMF threshold doesn’t care about your legacy. It only cares about whether you’re still the best answer to the customer’s problem RIGHT NOW.
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2. What AI Sees When It Visits Your Website (And How To Fix It)
This reframed how I think about our SEO strategy entirely. AI answer engines – ChatGPT, Google AI Overviews, Perplexity – are visiting your site, interpreting your content, and shaping customer perception BEFORE a human ever clicks. Traditional SEO isn’t enough anymore. You need AEO – AI Engine Optimization.
For SermonCentral, this is urgent. We live and die by organic discovery. If AI systems can’t parse our content well, we lose visibility in the exact channels that are replacing traditional search. I’m bringing this to the team this week.
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3. Claude Code Remote Control
This is the kind of workflow upgrade that sounds small but changes everything. Claude Code now lets you continue local dev sessions from your phone, tablet, or any browser. Your full local environment stays intact – filesystem, MCP servers, all of it. Sessions reconnect automatically after network drops or laptop sleep.
I’ve been using Claude Code as my daily driver for months now. Being able to kick off a task at my desk and check progress from my phone during a walk? That’s the kind of automation leverage I’m optimizing for in 2026.
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4. Claude Code for Web – Async Coding Agent
Anthropic launched an async coding agent at claude.ai/code. Point it at a GitHub repo, give it a task, and it creates branches and PRs with the work output. It runs in a container, skips permission gates, and the PRs are indistinguishable from CLI-generated ones.
The coding agent space is getting crowded fast – OpenAI Codex Cloud, Google Jules, now this. What I appreciate about this one is the “teleport” feature that lets you copy the transcript and files to your local CLI. It’s not replacing the local workflow, it’s extending it. That’s the right design philosophy.
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5. How to Build a PM GitHub That Gets You Hired
Only 24% of PM candidates have GitHub profiles. That stat alone should tell you something. Hiring managers at Google, OpenAI, Anthropic, and Meta actively check GitHub when it’s linked. A strong profile signals you actually build things and understand engineer workflows – not just strategize from a slide deck.
I’ve been saying this for a while: the best PMs ship. They don’t just write specs. If you’re a PM reading this and you don’t have a GitHub presence, this is your sign. Start small. Ship something. The differentiation is massive because almost nobody does it.
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6. Visual Explainer – Agent Skill for Rich HTML Output
This is a neat agent skill that converts complex terminal output into styled, interactive HTML pages. Think: architecture diagrams, code diff reviews, project plan audits, data tables – all rendered as shareable HTML without manual formatting.
I’m always looking for ways to make technical work more visible to non-technical stakeholders. Being able to generate a polished visual recap of a sprint or a system change and just send the HTML? That’s a communication multiplier.
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7. Anthropic Courses on Skilljar
Anthropic now has 14+ structured courses covering Claude API, Model Context Protocol, and AI fluency for developers, educators, students, and nonprofits. This tells me they’re investing heavily in ecosystem education – and that MCP is becoming a first-class skill.
I’ve been building MCP integrations into my daily workflow for months. Seeing Anthropic formalize the training around it validates the bet. If you’re building on Claude and haven’t gone through these, it’s worth the time.
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The Thread That Ties It All Together
Every link this week points to the same reality: the cost of standing still just went up. PMF is collapsing faster. AI is reshaping discovery. Coding agents are shipping real code. The PMs who build things are getting hired. The tools are getting better every week.
The question isn’t whether to adapt. It’s whether you’re adapting fast enough.
I aim to be on the right side of that question. Hopefully some of these links help you get there too.