How Wasmer used Codex to build a Node.js runtime for the edge

How NVIDIA engineers and researchers build with Codex

Teams use Codex with GPT-5. 5 to ship production systems and turn research ideas into runnable experiments.

Build faster with Buck2: Our open source build system

First look at GPT-5

See how a group of leading developers use GPT-5 for the first time.

How engineers at Nextdoor use Codex to build without limits

How engineers at Nextdoor use Codex with GPT-5. 5 to investigate hard-to-reproduce issues, build across platforms, and focus on product outcomes.

Introducing GPT-5.1 for developers

GPT-5. 1 is now available in the API, bringing faster adaptive reasoning, extended prompt caching, improved coding performance, and new apply_patch and shell tools.

Warp’s big bet on building open source with GPT-5.5

Warp uses GPT-5. 5 and OpenAI models to coordinate coding agents across local, cloud, and open-source development workflows.

GraphMend: Code Transformations for Fixing Graph Breaks in PyTorch 2

arXiv:2509. 16248v4 Announce Type: replace-cross Abstract: This paper presents GraphMend, a compiler technique that automatically fixes FX graph breaks in PyTorch 2 programs.

Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems

arXiv:2504. 20198v2 Announce Type: replace-cross Abstract: This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimization techniques and practical deployment scenarios.

Hydra: Phase-Aware Workload Characterization of LLM Inference across Edge SoC Generations, Backends, and Quantization Levels

Edge LLM deployment is shaped by more than model size and precision: inference backend, hardware platform, memory traffic, and power management all affect latency and efficiency. We present Hydra, a c...

A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware

arXiv:2609.08307v1 Announce Type: cross Abstract: Large language models (LLMs) are increasingly used as backends for intelligent web services, but serving them across the edge continuum requires bala...

Clustered Edge Intelligence: Beyond Just Convergence of Edge Computing and AI

arXiv:2607. 20937v1 Announce Type: new Abstract: We are moving from an information age to the age of intelligence.

Trident: Unifying Guarded Dispatch and Host Execution for PyTorch Triton Workloads

arXiv:2609.37241v1 Announce Type: new Abstract: User-written Triton kernels enable high-performance GPU computation within PyTorch, but their end-to-end latency can remain dominated by host-side orch...