How to Survive Database Failover – Debezium and PostgreSQL in Production
Getting Debezium to stream the first PostgreSQL change into Kafka is straightforward; keeping it correct through failover is the interesting part.
MCPs Aren’t APIs – Stop Treating Them Like One
We make many mistakes with MCPs, but one of the biggest is treating them like a 1:1 REST API mapping - when in reality, an MCP tool should be a capability, not just another endpoint.
AI Is Only as Good as the Document Pipeline Behind It
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.
Cursor and Nokia: AI Matters Less for Speed Than Expanding Developers’ Capabilities
Jordan Topoleski (COO, Cursor) and Pallavi Mahajan (CTO, Nokia) made the case that the next real breakthrough in AI development is agent orchestration.
AI agents aren’t safe from prompt injection, and spreadsheets prove it
I set out to see how easily an AI agent could be manipulated by harmless-looking spreadsheets, so I kept escalating the prompt injection until it either caught on or took the bait.
Your .env File Wasn’t Built for AI Agents. 1Password Has a Better Way.
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.
Netlify’s CTO: You learn more from shipping 30 imperfect apps than from one perfect tutorial
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.
We Usually Blame the AI Model, But the Harness Is What Breaks Production
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.
AI Is Making Junior Developers Faster, But Is It Making Them Better Engineers?
We spoke with 3 engineers to ask the blunt question: is AI making junior developers better or just faster at shipping code?
What If the Biggest Bottleneck Behind AI’s 10× Promise Is the Human Engineer?
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.
Choose a Database Because It Fits the Workload, Not Because It’s Familiar
The fastest way to create technical debt in AI is still the oldest one: choosing a database because it feels comfortable.
NVIDIA CTO Says AI is Now About Software, Networking And Power – Not Just Chips
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.