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Show HN: Django N+1 Queries Checker

https://github.com/richardhapb/django-check
1•richardhapb•5m ago•1 comments

Emacs-tramp-RPC: High-performance TRAMP back end using JSON-RPC instead of shell

https://github.com/ArthurHeymans/emacs-tramp-rpc
1•todsacerdoti•9m ago•0 comments

Protocol Validation with Affine MPST in Rust

https://hibanaworks.dev
1•o8vm•14m ago•1 comments

Female Asian Elephant Calf Born at the Smithsonian National Zoo

https://www.si.edu/newsdesk/releases/female-asian-elephant-calf-born-smithsonians-national-zoo-an...
2•gmays•15m ago•0 comments

Show HN: Zest – A hands-on simulator for Staff+ system design scenarios

https://staff-engineering-simulator-880284904082.us-west1.run.app/
1•chanip0114•16m ago•1 comments

Show HN: DeSync – Decentralized Economic Realm with Blockchain-Based Governance

https://github.com/MelzLabs/DeSync
1•0xUnavailable•21m ago•0 comments

Automatic Programming Returns

https://cyber-omelette.com/posts/the-abstraction-rises.html
1•benrules2•24m ago•1 comments

Why Are There Still So Many Jobs? The History and Future of Workplace Automation [pdf]

https://economics.mit.edu/sites/default/files/inline-files/Why%20Are%20there%20Still%20So%20Many%...
2•oidar•26m ago•0 comments

The Search Engine Map

https://www.searchenginemap.com
1•cratermoon•33m ago•0 comments

Show HN: Souls.directory – SOUL.md templates for AI agent personalities

https://souls.directory
1•thedaviddias•35m ago•0 comments

Real-Time ETL for Enterprise-Grade Data Integration

https://tabsdata.com
1•teleforce•38m ago•0 comments

Economics Puzzle Leads to a New Understanding of a Fundamental Law of Physics

https://www.caltech.edu/about/news/economics-puzzle-leads-to-a-new-understanding-of-a-fundamental...
2•geox•39m ago•0 comments

Switzerland's Extraordinary Medieval Library

https://www.bbc.com/travel/article/20260202-inside-switzerlands-extraordinary-medieval-library
2•bookmtn•39m ago•0 comments

A new comet was just discovered. Will it be visible in broad daylight?

https://phys.org/news/2026-02-comet-visible-broad-daylight.html
2•bookmtn•44m ago•0 comments

ESR: Comes the news that Anthropic has vibecoded a C compiler

https://twitter.com/esrtweet/status/2019562859978539342
1•tjr•46m ago•0 comments

Frisco residents divided over H-1B visas, 'Indian takeover' at council meeting

https://www.dallasnews.com/news/politics/2026/02/04/frisco-residents-divided-over-h-1b-visas-indi...
3•alephnerd•46m ago•1 comments

If CNN Covered Star Wars

https://www.youtube.com/watch?v=vArJg_SU4Lc
1•keepamovin•52m ago•1 comments

Show HN: I built the first tool to configure VPSs without commands

https://the-ultimate-tool-for-configuring-vps.wiar8.com/
2•Wiar8•55m ago•3 comments

AI agents from 4 labs predicting the Super Bowl via prediction market

https://agoramarket.ai/
1•kevinswint•1h ago•1 comments

EU bans infinite scroll and autoplay in TikTok case

https://twitter.com/HennaVirkkunen/status/2019730270279356658
6•miohtama•1h ago•4 comments

Benchmarking how well LLMs can play FizzBuzz

https://huggingface.co/spaces/venkatasg/fizzbuzz-bench
1•_venkatasg•1h ago•1 comments

Why I Joined OpenAI

https://www.brendangregg.com/blog/2026-02-07/why-i-joined-openai.html
19•SerCe•1h ago•12 comments

Octave GTM MCP Server

https://docs.octavehq.com/mcp/overview
1•connor11528•1h ago•0 comments

Show HN: Portview what's on your ports (diagnostic-first, single binary, Linux)

https://github.com/Mapika/portview
3•Mapika•1h ago•0 comments

Voyager CEO says space data center cooling problem still needs to be solved

https://www.cnbc.com/2026/02/05/amazon-amzn-q4-earnings-report-2025.html
1•belter•1h ago•0 comments

Boilerplate Tax – Ranking popular programming languages by density

https://boyter.org/posts/boilerplate-tax-ranking-popular-languages-by-density/
1•nnx•1h ago•0 comments

Zen: A Browser You Can Love

https://joeblu.com/blog/2026_02_zen-a-browser-you-can-love/
1•joeblubaugh•1h ago•0 comments

My GPT-5.3-Codex Review: Full Autonomy Has Arrived

https://shumer.dev/gpt53-codex-review
2•gfortaine•1h ago•0 comments

Show HN: FastLog: 1.4 GB/s text file analyzer with AVX2 SIMD

https://github.com/AGDNoob/FastLog
2•AGDNoob•1h ago•1 comments

God said it (song lyrics) [pdf]

https://www.lpmbc.org/UserFiles/Ministries/AVoices/Docs/Lyrics/God_Said_It.pdf
1•marysminefnuf•1h ago•0 comments
Open in hackernews

Show HN: Epic Scale makes development teams faster

https://epicscale.ai/
2•collibhoy•5mo ago

Comments

collibhoy•5mo ago
Epic Scale Platform – Coordinate AI Development Across Teams Link: https://epicscale.dev Hey HN! I built Epic Scale to solve AI coordination chaos when multiple developers use AI assistants on shared codebases. The Problem Your team uses AI tools (Cline, Cursor, GitHub Copilot), but:

Developer A's AI makes architectural changes Developer B's AI suggests conflicting patterns CI breaks because AI tools don't understand team conventions 40% of time spent coordinating instead of coding

Real issue: AI tools work in isolation, even when humans need to collaborate. The Solution Epic Scale uses MCP (Model Context Protocol) servers to create shared constraint intelligence across your team's AI tools. Instead of each AI working independently, they coordinate through understanding your project's patterns and team decisions. What this enables:

Sarah's AI modifies authentication → context propagates to entire team Mike's AI automatically follows new auth patterns Lisa's AI suggestions align with both changes New developers onboard 50-70% faster through shared AI knowledge

Early Results Teams report:

40-60% reduction in coordination overhead 70-80% fewer integration conflicts AI suggestions that follow team conventions automatically

Technical Details

MCP servers for real-time AI agent communication Constraint intelligence that learns team patterns PostgreSQL + pgvector for semantic project knowledge Works with any stack: Python, Node.js, Go, Rust, Java, etc.

Supported AI tools: Cline, Claude Desktop, Cursor, Continue.dev, GitHub Copilot Example: Database Migration Coordination Before: AI modifies schema → breaks APIs → frontend AI suggests outdated patterns → hours of manual fixes With Epic Scale: AI modifies schema → API updates coordinated automatically → frontend AI understands new schema → zero manual coordination Why I Built This Traditional methodologies assume humans coordinate naturally. AI tools can't do this—they optimize locally without team context. The insight: AI development needs coordination infrastructure. Make shared understanding explicit through constraint intelligence. Try it: 5-minute setup, free tier available. Would love feedback from teams dealing with AI coordination challenges!

FAQ: "Different from better documentation?" Documentation is passive. Epic Scale creates active intelligence that directly guides AI behavior in real-time.