OpenAI Hackathon Playbook: Pick Models by Task and Reuse Built-in Platform Powers

During OpenAI's global hackathon weekend, developer gabrielchua shared a set of practical tips to help participants ship more within limited time and credits. The core idea: pick models by task and reuse built-in platform capabilities instead of reinventing infrastructure.

Confirmed

Model division of labor: Chua recommends Astra for the hardest end-to-end workflows, Sol for deep analysis, judgment and polishing, and Luna for repetitive tasks; all usable directly in Codex or in one's own apps and agents.
gpt-live-1 delegation: gpt-live-1 can delegate to other models—pair it with gpt-image-2.5 for images, gpt-live-transcribe for speech transcription, and gpt-live-translate for translation, each addable in a single line.
Agents API out of the box: For cloud agents, OpenAI's Agents API ships with a code sandbox, context compaction, and multi-agent orchestration, so participants need not build this infrastructure themselves.
New developer resources: OpenAI released an open-source Docs skill letting Codex read official docs and build accordingly to reduce API misuse, alongside developer-facing plugins and other resources.

Why it matters

These tips showcase the clear division of OpenAI's current model lineup and its platform capabilities: combining existing models with the Agents API can meaningfully cut development cost and speed up prototyping. Open-sourcing the Docs skill also lets the community make any coding assistant follow official API specs more accurately, directly helping reduce API misuse.

2026-09-12 ~ 2026-09-12 · 5 related posts

Primary sources

OpenAI hackathon tips: match Astra/Sol/Terra/Luna to tasks, lean on Agents API — gabrielchua · 2026-09-12 11:26 (UTC+08:00)
OpenAI Agents API ships with sandboxes, compaction, and multi-agent support — gabrielchua · 2026-09-12 11:26 (UTC+08:00)
OpenAI ships Docs skill for Codex plus a Developers plugin for building and managing agents — gabrielchua · 2026-09-12 11:26 (UTC+08:00)

[source] OpenAI hackathon tips: match Astra/Sol/Terra/Luna to tasks, lean on Agents API — gabrielchua · 2026-09-12
OpenAI model roles laid out: Astra for hard workflows, Luna for repeatable tasks — gabrielchua · 2026-09-12
gpt-live-1 can delegate to image, transcription, and translation models — gabrielchua · 2026-09-12
[source] OpenAI Agents API ships with sandboxes, compaction, and multi-agent support — gabrielchua · 2026-09-12
[source] OpenAI ships Docs skill for Codex plus a Developers plugin for building and managing agents — gabrielchua · 2026-09-12