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When Imperfect Systems are Good, Actually: Bluesky's Lossy Timelines

4 months ago

jazco.devjazco.dev

Jetstream: Shrinking the AT Proto Firehose by >99%

9 months ago

jazco.devjazco.dev

How HLS Works

11 months ago

jazco.devjazco.dev

An entire Social Network in 1.6GB (GraphD Part 2)

about 1 year ago

jazco.devjazco.dev

Your Data Fits in Memory (GraphD Part 1)

about 1 year ago

jazco.devjazco.dev

Scaling Go to 192 Cores with Heavy I/O

over 1 year ago

jazco.devjazco.dev

Solving Thundering Herds with Request Coalescing in Go

over 1 year ago

jazco.devjazco.dev

Speeding Up Massive PostgreSQL Joins with Common Table Expressions

almost 2 years ago

jazco.devjazco.dev

Speeding up Postgres Queries by 200x with Analyze

about 2 years ago

jazco.devjazco.dev

How to use ChatGPT to Write Good Code Faster

about 2 years ago

jazco.devjazco.dev

Workload Agnosticism in Large Language Models: The Foundation for the Next Generation of Computing

about 2 years ago

jazco.devjazco.dev

A Tale of Two Technologies: Why Large Language Models are the Future and the Metaverse Isn't

about 2 years ago

jazco.devjazco.dev

urendev

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ydemek

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When Imperfect Systems are Good, Actually: Bluesky's Lossy Timelines

Jetstream: Shrinking the AT Proto Firehose by >99%

How HLS Works

An entire Social Network in 1.6GB (GraphD Part 2)

Your Data Fits in Memory (GraphD Part 1)

Scaling Go to 192 Cores with Heavy I/O

Solving Thundering Herds with Request Coalescing in Go

Speeding Up Massive PostgreSQL Joins with Common Table Expressions

Speeding up Postgres Queries by 200x with Analyze

How to use ChatGPT to Write Good Code Faster

Workload Agnosticism in Large Language Models: The Foundation for the Next Generation of Computing

A Tale of Two Technologies: Why Large Language Models are the Future and the Metaverse Isn't

Command Palette

urendev

kartegafurkan

ydemek

Get €20 Credits

urendev

kartegafurkan

ydemek

When Imperfect Systems are Good, Actually: Bluesky's Lossy Timelines

Jetstream: Shrinking the AT Proto Firehose by >99%

How HLS Works

An entire Social Network in 1.6GB (GraphD Part 2)

Your Data Fits in Memory (GraphD Part 1)

Scaling Go to 192 Cores with Heavy I/O

Solving Thundering Herds with Request Coalescing in Go

Speeding Up Massive PostgreSQL Joins with Common Table Expressions

Speeding up Postgres Queries by 200x with Analyze

How to use ChatGPT to Write Good Code Faster

Workload Agnosticism in Large Language Models: The Foundation for the Next Generation of Computing

A Tale of Two Technologies: Why Large Language Models are the Future and the Metaverse Isn't