MetaScriptor's profile picture. software architect | AI researcher |
agentic AI | software developer | CS enthusiast

Priyanshu Kumar Singh

@MetaScriptor

software architect | AI researcher | agentic AI | software developer | CS enthusiast

Priyanshu Kumar Singh reposted

This is my website. Guess the stack!

denicmarko's tweet image. This is my website. Guess the stack!

AI Code Review Best Practice Implemented @geoffreyhinton’s concept of comparative analysis in our AI code review process. Now comparing AI suggestions across multiple models before accepting changes. Fascinating how different models excel in different space #CodeReview #AI


now you can make your @googlesheets public and access it across @cursor_ai , can add table data for you!


DevOps Revolution “‘The impact of AI on software development will mainly reshape four key areas: requirement planning, enhancing developer productivity, DevOps and deployment, and workload optimization.’ – @EY_Engineering Our CI/CD pipeline now self-optimizes using RLHF #DevOps


🧵✨🙏 With the new Claude Opus 4, we conducted what I think is by far the most thorough pre-launch alignment assessment to date, aimed at understanding its values, goals, and propensities. Preparing it was a wild ride. Here’s some of what we learned. 🙏✨🧵



Priyanshu Kumar Singh reposted

Simplify Your Code with Guard Clauses .NET makes it easy to check for bad input. In .NET 6, we got: - ArgumentNullException.ThrowIfNull In .NET 7: - ArgumentException.ThrowIfNullOrEmpty In .NET 8, we now have: - ThrowIfNullOrWhiteSpace - ThrowIfNullOrEmpty (for…

mjovanovictech's tweet image. Simplify Your Code with Guard Clauses

.NET makes it easy to check for bad input.

In .NET 6, we got:

- ArgumentNullException.ThrowIfNull

In .NET 7:

- ArgumentException.ThrowIfNullOrEmpty

In .NET 8, we now have:

- ThrowIfNullOrWhiteSpace
- ThrowIfNullOrEmpty (for…

AI-Driven Architecture Design “Mind blown: Used AI to generate 5 different microservice architecture options for our new project based on scaling requirements. Even @goodfellow_ian would appreciate how the AI considered fault tolerance scenarios I hadn’t thought of!

MetaScriptor's tweet image. AI-Driven Architecture Design

“Mind blown: Used AI to generate 5 different microservice architecture options for our new project based on scaling requirements. Even @goodfellow_ian would appreciate how the AI considered fault tolerance scenarios I hadn’t thought of!

Future-Proofing Developer Skills “‘By 2028, 75% of enterprise software engineers will use AI coding assistants, up from 10% in early 2023.’ - Gartner How I’m preparing: 1) Learning prompt engineering 2) Focusing on system design 3) Building AI evaluation skills #AItools #AI


Developer Productivity Transformation “Just hit a personal record: Completed a feature that would’ve taken 3 days in just 6 hours using the latest AI coding tools. I’m using ‘optimization metrics’ to track productivity gains. Any other metrics you’re tracking? #DevProductivity


“As @sama predicted, AI is now eating software development whole. The key? Letting AI handle boilerplate while humans focus on architecture. What’s your AI-human workflow balance? #ArtificialIntelligence #SoftwareEngineering #AIcodingAssistant

MetaScriptor's tweet image. “As @sama predicted, AI is now eating software development whole.
The key? Letting AI handle boilerplate while humans
focus on architecture. What’s your AI-human workflow balance?
#ArtificialIntelligence #SoftwareEngineering #AIcodingAssistant”

“As @sama predicted, AI is now eating software development whole. The key? Letting AI handle boilerplate while humans focus on architecture. What’s your AI-human workflow balance? #ArtificialIntelligence #SoftwareEngineering #AIcodingAssistant


Priyanshu Kumar Singh reposted

The Node.js Website Team has been busy 💪 Recent upgrades include pnpm adoption, API docs tooling migration, a new design system, and OpenNext deployment support. Leading to better speed, docs, and dev experience. More to come! ✨🐢 Huge shoutout and thanks to our website…


Priyanshu Kumar Singh reposted

Experiments on Stack-V2 (code) and the Pile (general) reveal a distinct pattern: coding tasks benefit more from increased computation (P), while general language tasks gain more from larger model size (N). These findings support the hypothesis that parameters primarily influence…

huybery's tweet image. Experiments on Stack-V2 (code) and the Pile (general) reveal a distinct pattern: coding tasks benefit more from increased computation (P), while general language tasks gain more from larger model size (N). These findings support the hypothesis that parameters primarily influence…

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