Shekhar

Software Engineer

[Pi @pidotdev]

People of Pi: We've shipped Pi 1.0 with Pi Durable. Go make them yours.

https://t.co/oUPfVfvAZl

[Mario Zechner @badlogicgames]

oh no

[Shekhar @shekhargd_]

@thorstenball Arc browser has the feature which helps to do this, configurable per links

[Addy Osmani @addyosmani]

Agentic coding terminals (and even many desktop apps) are too low-bandwidth for what agentic harnesses can actually do. Excited for cloud-native harnesses that work on anything, accessible from anywhere to get even better. A lot of work is already pointing in this direction.

[Z.ai @Zai_org]

Introducing GLM-5.3: Built to Code. Ready for Cyber Defense.

- Top-tier coding and agentic capabilities, achieved through post-training on the 743B base model
- A major leap in cybersecurity, setting a new standard among open models

Tech Blog: https://t.co/ekQkO83jCv

[tokenbender @tokenbender]

deepseek releases a new paper along with their harness.
not sure if i have ever read someone say adaptive synthesis/formalization like this before.

it proposes a programming model where components explicitly declare both what they need and what they change.

the runtime then automatically activates/deactivates dependencies and cleanly reverses side effects as components come and go.

link - https://t.co/ZwbqscbW22

[Shantanu Goel @shantanugoel]

:)

[Brooklyn! @imbabybrooklyn]

Do we like node workflows?

[Shekhar @shekhargd_]

@hkarthik Use @pidotdev

[Shekhar @shekhargd_]

@neilkanakia Possible for engineers who have not worked with agentic at work but really interested and understands?

[neil @neilkanakia]

I'm working with 8 startups hiring in the bay area right now! Dm me if you're open to new work.

[Gourav Mishra @Gorvmishra]

Hiring | Software Engineer (AI)
Remote (US) | Full-Time

Archesys is a cloud, AI, and DevSecOps consulting company that builds secure, AI-powered solutions for government and enterprise customers,
with a strong focus on cloud-native engineering and digital transformation.

What you'll do

• Build AI applications with Python & LLMs
• Develop secure APIs and AI services
• Deploy on AWS with Docker & Kubernetes
• Integrate OpenAI & Amazon Bedrock
• Build scalable cloud-native solutions
• Collaborate with cross-functional teams

Requirements

• 4+ years of software engineering experience
• Strong Python and AWS experience
• Hands-on experience with LLMs, RAG & AI Agents
• Experience with REST APIs, Docker, Kubernetes & Terraform
• Knowledge of CI/CD, cloud-native architecture & DevOps
• Strong problem-solving and communication skills

Nice to have

• Experience with LangChain, LangGraph, CrewAI or AutoGen
• Experience with vector databases (Pinecone, Weaviate, pgvector)
• Knowledge of DevSecOps, MLOps & AI observability
• Experience with AWS services like EKS, ECS, Lambda & API Gateway

What you'll get

• Fully remote work environment
• Competitive salary & comprehensive benefits
• Work on cutting-edge AI & cloud technologies
• Learning budget, certifications & career growth
• High ownership with impactful enterprise AI projects

Interested candidates can reply to this post, and I'll share the application link via DM.

[Guanlan Dai @guanlan]

Yes, we are hiring!

We are building the execution layer for next billions of agents, and we are looking for high-agency engineers:
Core Runtime (kernel-and-VMM-layer)
Cloud Infra (IaC and multi cloud)
Product Engineering (Agent Experience and DX)

Small team. High talent density. High ownership.

Apply here:
https://t.co/g7mV9vtb0Q

[Steve @SteveFlanders22]

we're hiring for two roles at @lattica

1) head of growth
2) founding engineer

in both roles, you'll have a lot of autonomy to cook. the best fits are people who want to lead and directly shape the future of prediction markets.

apply below

[Keval Shah @kevalshah01]

[hiring @sundayrobotics] i'm looking for a strategic projects lead to join my team and build 0-to-1 with me :)

we're pushing to put robots in real homes, and the operational foundation behind that doesn't have a playbook. your job is to build it: take the ambiguous, ownerless problems and turn them into working systems, across data, ML, product, software, hardware, and our 1000+ memory developers.

there's no playbook here. you'd be writing it as you go.

if that excites you (or you know someone who'd be great), reach out or apply below 👇

[Shekhar @shekhargd_]

@dprophecyguy @SwiggyTech @zomato @letsblinkit @instamart_it @ZeptoNow

[Shekhar @shekhargd_]

@shantanugoel What is it? How it is getting powered up?

[Shekhar @shekhargd_]

@amuldotexe congrats @amuldotexe

[Shekhar @shekhargd_]

@buriedstupidity Hey Akash, Hope you are doing well.
I've got a couple of questions about RealFastAI that are a bit long for a thread. Any chance you could open DMs for a bit? Would love to connect!

[Shekhar @shekhargd_]

@shantanugoel Where if it's comparison, it will render as a table, or code artifacts and like thag

[Shekhar @shekhargd_]

@shantanugoel I have this idea which I try once I complete the foundation doing.
A UI where backend decides what to render.
A component library which is accessible from back-end and front-end, when llm is ready with result instead of throwing as text it says returns component type payload