Hello!

SpaceX is shaking things up with its $60 billion acquisition of AI coding platform Cursor, aiming to turbocharge its tech stack.

Meanwhile, a critical vulnerability was uncovered in Copilot, where hackers nabbed 2FA codes (a wake-up call for everyone relying on AI security). On a different note, Vercel's pushing limits: their Functions now run up to 30 minutes, offering developers more room to breathe.

At Pagepro, we're all about making your tech transitions smooth and seamless with Next.js & Sanity migrations for enterprises.

Grab your coffee, settle in, and enjoy Frictionless.

Enterprise teams can now lock down Vercel deployments using their existing identity providers. Vercel Passport centralizes access, ensuring only authenticated users can view protected projects. Reuse OIDC applications across multiple projects, set team defaults, and assign Passport in bulk.

No limits on external users for $100 per project monthly.

Consider how this could streamline your deployment process while maintaining tight security. Worth knowing: Centralized access management could save you time and reduce errors. Curious to see how this fits into your current workflow?

Vercel just amplified its game: Functions can now run for up to 30 minutes.

This is a big leap from the previous 800-second cap, especially if you're using Node.js and Python runtimes. Great news if you're dealing with lengthy LLM reasoning, OCR tasks, or heavy web scraping. Active CPU billing only kicks in during actual code execution, thanks to Fluid Compute.

80% of CTOs might see immediate cost benefits, as paused execution during I/O isn’t billed. To opt-in, just set maxDuration in your Vercel configuration. No more racing against the clock when handling complex workflows. Efficiency meets scalability. Curious if this fits into your current stack? Check it out.

AI SDK 7 is changing the game for AI harness management. By introducing HarnessAgent, it provides a single API to run different agent harnesses like Claude Code, Codex, and Pi without needing to rewrite your code. This flexibility means you can always use the best harness for your needs now, and adapt easily as new options emerge.

Two key takeaways: First, you eliminate the need for tedious rewrites when switching harnesses, saving valuable development time. Second, your environment stays secure with sandboxed workspaces, ensuring stability and safety.

Ready to simplify your AI model management? Dive into the AI SDK harness documentation to begin.

AI is changing the game, but not in the way you might think. Sure, it spits out code like a vending machine, but that doesn't mean we can ignore discipline. The real work begins after the code is generated. Managing whole systems is your new frontier.

Team cohesion and clear protocols are your best allies.

Did you know that teams focusing too much on AI-generated code often miss the bigger picture? You need to push your team to think in systems, not scripts. It's about creating a robust process, not obsessing over perfect lines of code. How's your team adapting to this shift?

AI is here to help, not to derail your team. Keep your processes human-centered. The article breaks down four steps to safeguard your company's organizational knowledge. Step one: assess your current workflows. This ensures AI adds value instead of chaos. Step two: Engage your team in developing AI strategies. Their insights are crucial for alignment.

Two-thirds of executives report AI-related process missteps. That's a wake-up call. Keeping your team in the loop reduces friction and boosts morale.

Shouldn't your AI investments pay off, not cause headaches?

Worth knowing: When AI disrupts processes, it’s often because it was layered on haphazardly. Keep it intentional.

AI might write code faster, but it’s not ousting software engineers anytime soon. Turns out, the craft is less about typing and more about deep human understanding. Engineers don’t just sling code; they decide what to build, verify it works, and grasp the entire business landscape. This human insight is far from being automated.

Zero companies reported AI-related layoffs despite New York’s new AI-disclosure checkbox. That’s telling. AI can assist, but the crux of software engineering requires a human touch.

What if AI could handle meetings or debugging? Would it change your team dynamics?

SpaceX is shaking up the AI world by acquiring Cursor for a whopping $60 billion. This isn't just any purchase; it's a strategic move hot on the heels of SpaceX's IPO and its merger with xAI. Cursor is an AI-laden IDE birthed from Visual Studio Code, ready to tango with the big kids like Anthropic and OpenAI.

This acquisition sets a precedent. $60 billion is eye-popping, but it signals SpaceX's clear commitment to dominate the AI coding space. First, rethink where you see IDEs headed—AI integration is no longer a perk, it's the baseline. Second, watch SpaceX; its trajectory could reshape AI platforms as we know them.

Who's next on the acquisition list? Keep your eyes peeled.

Deploying AI is just the tip of the iceberg. The real challenge? Managing it in the wild. Once AI agents hit production, they often trip over poorly managed tools, tangled data, and shaky workflows. It's not the model that's the hurdle; it's everything around it.

A whopping 60% of AI failures are runtime issues, not model flaws. Tighten up governance and ramp up observability to keep AI on a short leash. Without it, you're flying blind.

Innovate, but with eyes wide open. It's not just about building smarter models; it's about smarter execution. Are you ready to tackle the real AI bottlenecks?

Microsoft just patched a max critical vulnerability in its Copilot AI, exposing users' 2FA codes to hackers. Why's this alarming? The root issue is AI's struggle to discern malicious instructions tucked in third-party content. It doesn't just listen to users; it obeys, no questions asked. AI gullibility is the real threat.

Don't wait for a breach to rethink your AI security measures. Is your AI too trusting?

AI's polite requests are unraveling corporate security. Meta's AI misstep, granting access to 20k Instagram accounts, serves as a poignant reminder: security checks you never wrote will get exploited. It's not just theoretical—it's happening.

Implementing robust AI guardrails isn't optional. Ensure your prompts and AI tasks have defined boundaries. Be proactive, not reactive. Learn from Meta's oversight: scrutinize what your AI is programmed to allow.

Lax oversight isn't a future risk—it's a present vulnerability. Are your AI safeguards up to snuff?

Meta’s once-flourishing engineering culture is crumbling fast, and it’s not just about AI overload. Pushing engineers into menial data-labeling roles and obsessive activity tracking has gutted morale. Performance now hinges on AI metrics rather than innovation. The fallout? Talent is fleeing, morale is crashing, and chaos reigns.

Meta’s forced AI-first approach has shaken its core. Letting engineers focus on their strengths rather than admin work could stabilize the ship. Second, performance reviews need a serious rethink—linking them directly to AI usage is a recipe for rebellion.

Is your team judging value by the right metrics? Time to reassess before a similar storm hits.

Do you have any comments about this newsletter issue or questions you want to ask? Drop me a message or book a meeting.