@kevinjosethomas: make the most of Astra with recursive subagents and a persistent python repl available in prime agent with your existin…
Summary
A tweet explains how to maximize Astra's capabilities using recursive subagents and a persistent Python REPL, available in the prime agent for users with a Codex subscription.
View Cached Full Text
Cached at: 09/10/26, 12:29 PM
make the most of Astra with recursive subagents and a persistent python repl
available in prime agent with your existing codex subscription 🫡 https://t.co/Ydjb8sU4X8
dax (@thdxr): so astra writes python to do everything
which means we’re going to have to rework this ui
Similar Articles
@kentcdodds: When Astra spawns Astra subagents
Kent C. Dodds tweeted about Astra spawning Astra subagents, hinting at developments in AI agent systems.
Prime Agent: A self-improving RLM agent
Prime Intellect launches Prime Agent, a fully open-source self-improving coding harness built around Recursive Language Model (RLM) and Continual Harness abstractions, enabling persistent sub-agents and dynamic tooling via a REPL-based interface.
@omarsar0: This works really well with GPT-6 Astra: Give it a tweet of an impressive Astra demo. Ask Astra (medium) to replicate i…
The article recommends using GPT-6 Astra by breaking tasks into steps, starting with medium settings to replicate a demo and then using max settings to optimize results, leveraging subagents for efficiency.
Prime Agent: A Self-Improving RLM Harness
Prime Agent is an open-source harness that uses recursive subagents and persistent computation to extend language models' long-horizon capabilities across coding and reasoning tasks, significantly improving performance on benchmarks like ARC-AGI-3.
@Saccc_c: OpenAI's official team has dropped a major update, personally showing you how to make the most of Astra For settings li…
OpenAI's official team has released a major update for GPT-6 Astra, providing best practices for settings like AGENTS.md to optimize token usage and efficiency.