HN user

benocodes

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twitter.com 21d ago

Fable open sourced NanoClaw's agent factory. It cost $800

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17pts17
www.qodo.ai 5mo ago

A real-world benchmark for AI code review

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52pts28
thenewstack.io 5mo ago

The 'weird' things that happened when ClickHouse replaced C++ with Rust

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3pts0
www.qodo.ai 1y ago

Introducing Qodo Gen CLI: Build and Run Coding Agents Anywhere in the SDLC

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thenewstack.io 1y ago

Google Donates the Agent2Agent Protocol to the Linux Foundation

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www.nature.com 1y ago

How to avoid P hacking

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www.nature.com 1y ago

Skunk cabbages and other smelly plants brew their foul odour

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4pts0
www.uber.com 1y ago

Migrating Large-Scale Interactive Compute Workloads to K8s Without Disruption

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1pts0
www.uber.com 1y ago

Fixrleak: Fixing Java Resource Leaks with GenAI

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www.uber.com 1y ago

Advancing Invoice Document Processing at Uber Using GenAI

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4pts0
aws.amazon.com 1y ago

How generative AI is transforming developer workflows at Amazon

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5pts0
netflixtechblog.com 1y ago

Foundation Model for Personalized Recommendation

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7pts0
medium.com 1y ago

How Airbnb measures listing lifetime value

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96pts123
www.technologyreview.com 1y ago

Ethically sourced "spare" human bodies could revolutionize medicine

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venturebeat.com 1y ago

DeepSeek-V3 runs at 20 tokens/s on Mac Studio, and that's a nightmare for OpenAI

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8pts2
www.math.columbia.edu 1y ago

The Situation at Columbia

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2pts0
www.nature.com 1y ago

RNA function follows form – why is it so hard to predict?

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3pts0
www.scientificamerican.com 1y ago

A Prenatal Test of the Fetus Turns Up Cancers in Pregnant Mothers

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2pts0
www.nature.com 1y ago

The Greenland Ice Sheet is fracturing faster than expected

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9pts1
www.qodo.ai 1y ago

Solving key challenges in AI-assisted code reviews

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16pts1
github.blog 1y ago

Considerations for making a tree view component accessible

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1pts0
netflixtechblog.com 1y ago

Cloud Efficiency at Netflix

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46pts52
netflixtechblog.com 1y ago

Introducing Configurable Metaflow

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1pts0
www.quantamagazine.org 1y ago

How Will We Know We're Not Alone?

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4pts0
www.nature.com 1y ago

How close is AI to human-level intelligence?

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1pts0
www.anthropic.com 1y ago

Model Context Protocol

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martinfowler.com 1y ago

Exploring Gen AI: Copilot's new multi-file editing

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1pts0
www.nature.com 1y ago

Dental evidence for extended growth in early Homo from Dmanisi

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2pts0
netflixtechblog.com 1y ago

Netflix's Distributed Counter Abstraction

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133pts71
www.quantamagazine.org 1y ago

Debate May Help AI Models Converge on Truth

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3pts0

Been using ChartDB recently and it’s been quite good for my use case. I’m on Supabase, and found that the Supabase built-in ERD viewer kind of breaks down once you go past like 15 tables.

I tried a few other DB visualization tools but was turned off because it felt like I needed to learn another toolset, when I just wanted to import my schema and start working with it. ChartDB's approach was better for me, the single query import worked fine, and adding to the schema works how you'd expect.

Really hoping to see a feature for “diffs between the dev diagram and the live DB”. we’re collaborating on the diagram as a team, and it’d be great to track what changed between our current draft and the actual database.

Seems from the demo videos like Claude desktop app will soon support MCP. Can you share any info on when it will be rolled out?