OpenAI Codex Developer Exposes Token Waste in AI Agent Swarms
1 min read
AI for Software Engineering (Copilots, SDLC, Testing)
-/5
In short
- Let’s be clear: running multiple AI agents is a colossal waste of resources.
- Eric Provencher, a developer at OpenAI Codex, reveals the harsh truth about agent swarms.
- You’re burning tokens without any quality gain.
Let’s be clear: running multiple AI agents is a colossal waste of resources. Eric Provencher, a developer at OpenAI Codex, reveals the harsh truth about agent swarms. More than two parallel sub-agents? You’re burning tokens without any quality gain. This is the 'coordination tax' — agents don’t trust each other, leading to redundant checks and inefficiencies. Provencher highlights a shocking example: 1,393 agents squandered $20,000 on a single Python refactoring. Meanwhile, one Astra agent could have done it for a fraction of the cost. This isn’t just a minor issue; it’s a wake-up call. If you ignore this, you lose time and money. The landscape is changing, and those who cling to outdated methods will fall behind. Act now, or be left in the dust.
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