ShiftMag

Everyone is busy asking how big the model is, but the real question is what you fed it first - because if your PDFs are mangled and your OCR is sloppy, even the smartest LLM starts from the wrong answer.

Dana Lawson argues that AI has lowered the barrier to software development so much that the best way to learn is by building, shipping imperfect apps, and improving them along the way.

Mike Chambers, Developer Advocate at AWS, says the real test of AI is not whether a demo looks smart, but whether the system around it can survive real-world use.

Engineering teams are starting to resemble legacy Java apps hitting thread exhaustion. I believe change is unavoidable, and we need a better way to organize the work.

Jordan Topoleski (COO, Cursor) and Pallavi Mahajan (CTO, Nokia) made the case that the next real breakthrough in AI development is agent orchestration.

The fastest way to create technical debt in AI is still the oldest one: choosing a database because it feels comfortable.

The AI boom is no longer just a race to build faster machines. The real challenge now is making all the moving parts work together at scale.

The jump from mid-level to senior engineer is often framed as a technical one. Michelle Brenner says the real difference is judgment: understanding the business, making pragmatic trade-offs, and knowing when to ask for help.

AI agents are already being trusted with real work, but handing them raw credentials is a dangerous shortcut. That's why the next security challenge is controlling what an agent can do once it gets access.

I let the dust settle, and this is what I think: regular apps usually need teams of dozens to ideate, build, and test before they ship. Odysseus, PewDiePie’s new AI platform, doesn’t - at least, not in the usual way.

At the AI Engineer conference in San Francisco, I heard Instagram co-founder Mike Krieger say developers no longer need to review every line of code by hand. The real job now is judging AI’s decisions and whether the product solves the right problem.

A new kind of builder is emerging inside organizations - one that works fast, ships often, and rarely follows the instincts of a software engineer. That raises a simple question: what happens to security?

ShiftMag Insightful engineering content & community

AI Is Only as Good as the Document Pipeline Behind It

Netlify’s CTO: You learn more from shipping 30 imperfect apps than from one perfect tutorial

We Usually Blame the AI Model, But the Harness Is What Breaks Production

What If the Biggest Bottleneck Behind AI’s 10× Promise Is the Human Engineer?

Cursor and Nokia: AI Matters Less for Speed Than Expanding Developers’ Capabilities

Choose a Database Because It Fits the Workload, Not Because It’s Familiar

NVIDIA CTO Says AI is Now About Software, Networking And Power – Not Just Chips

Being a Senior Engineer Doesn’t Mean You Never Need Help

Your .env File Wasn’t Built for AI Agents. 1Password Has a Better Way.

PewDiePie’s AI Experiment Is What Software Development Looks Like Now

Instagram’s Co-Founder Says He Doesn’t Review Every Line of Code Anymore

Security Must Be Built In as Everyone Becomes a Builder