Python Async, Event Loop, Coroutines, Concurrency

AI Function Calling: Composing and Decomposing Functions for Complex Tasks
lightcapai.medium.com·2d·
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Supercharging the ML and AI Development Experience at Netflix
netflixtechblog.medium.com·2d·
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Absurd Workflows: Durable Execution With Just Postgres
lucumr.pocoo.org·3d·
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Complexity fills the space it's given
wilsoniumite.com·12h·
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Developing desktop apps from scratch: A feature checklist
alek-tron.com·1d·
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emacs
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Senior BizOps at Artie (San Francisco)
ycombinator.com·4h·
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A Unified Experience for all Coding Agents
code.visualstudio.com·1d·
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Fix: externalizing network I/O in serverless computing
arxiv.org·2d·
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From a Curious Outsider to a GreptimeDB Advocator Journey into Contribution
greptime.com·1d·
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Python Integration for Scryer Prolog Using FFI (Research Project)
github.com·3d·
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🐍python
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Petri Dish Neural Cellular Automata
pub.sakana.ai·1d·
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Speeding up JavaScript test time 1000x
kevin.burke.dev·3d·
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Transducer: Composition, Abstraction, Performance
funktionale-programmierung.de·2d·
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A Noob's Guide to Kubernetes Monitoring: SigNoz vs. Datadog vs. Grafana
simpletechguides.com·13h·
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The Axiom of Predictive Coherence
isaacbound.substack.com·18h·
Discuss: Substack
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Why Workflows Fail: The Indeterministic Business Problem
blog.dragonscale.ai·1d·
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Capacity Review: The AI Workflow Engine That Understands Vibe Coding (2025)
danielkliewer.com·1d·
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Generating map tiles for FAA sectional charts with GDAL
ephemeral.cx·5h·
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🦀rust
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Show HN: Kumi – a portable, declarative, functional core for business logic
kumi-play-web.fly.dev·1d·
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Cutting LLM Batch Inference Time in Half: Dynamic Prefix Bucketing at Scale
daft.ai·2d·
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