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Every engineering team I talk to has sped up code generation by three to four
times. Almost none of them have changed how they hire.
We still interview the way we did in 2019. Write this function. Solve this on
a whiteboard. Show me you can produce working code under pressure.
That was a reasonable proxy when producing code was the hard part. It isn't
anymore. A model does that in seconds, well enough that testing for it tells
you very little about the person in front of you.
What's left is a different job. Is this correct? Is it safe? Does it fit the
system we already have? Is it even the right thing to build? That's judgement,
and it's the one thing that didn't get cheaper this year.
Which creates a problem nobody's really talking about. If juniors mostly
generate and accept code, where does the judgement come from in five years?
You don't develop a reviewer's instinct by approving diffs you didn't read.
You develop it by getting things wrong and being on call when it breaks.
I don't have a tidy answer, but I'd start by interviewing for review rather
than only for writing — hand someone a pull request with three subtle problems
in it and watch what they do. Make juniors defend code they didn't write,
including the AI's. And stop treating "shipped fast" as the whole signal,
because shipped fast and correct is a different skill entirely.
Generation got cheap. Judgement didn't.
I wrote a longer version of this — on why verification is the new bottleneck
and what that means for how teams work.
The network for creativity
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I’m Talha, a Full-Stack Engineer specializing in Three.js, WebGL, React Three Fiber, and high-performance Web Development.
I build browser-native 3D product configurators, interactive BIM/IFC viewers, and custom WebGL applications that bring desktop-grade spatial experiences straight into the web browser.
As I’m new to Contra, I’d love to learn from experienced freelancers here: What strategies or workflows worked best for landing your very first client on Contra?
Any quick tips on proposal outreach, portfolio structuring, or client discovery on the platform would be super helpful!
Looking forward to connecting with fellow builders and clients here! 🚀
Strong showcase; combining Three.js, WebGL, and full-stack expertise makes the work feel both technically impressive and visually polished.
Open Source Contributions & Software Architecture
Maintained a highly active open-source portfolio with 600+ contributions. Consistently shipping and documenting robust code across Next.js, Python, and AI/NLP architectures.
AI Agent Development & n8n Workflow
I developed high-performance AI Agents integrated into complex enterprise workflows using n8n as the core orchestration engine. The system leverages webhooks for instant data ingestion, Qdrant Vector Stores for semantic memory, and LangChain for intelligent decision-making. Designed for scalability, the architecture uses sophisticated data pipelines and conditional logic to route outputs across Slack, Google Sheets, and Email, reducing manual overhead through precise prompt engineering and structured memory management.
Super impressive work