Industry · Software
Estimate the cost of AI coding assistants, copilots and agents across an engineering organization.
Software organizations are the heaviest per-capita AI consumers in the enterprise. Coding assistants, PR review bots and autonomous agents push 50–150M tokens per engineer per year — and growing. This calculator models the full engineering AI OpEx.
Tokens / engineer / yr
50–150M
Highest in the enterprise
Annual cost / engineer
$300–$2,800
Frontier-model heavy
Agentic workflow multiplier
3–8x
vs. interactive prompts
RAG codebase indexing
4.5M tokens
Per engineer / year baseline
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Embedded in core workflows. Mixed adoption.
AI-assisted tasks
3 / 3Annual estimate
$152.3K
Total token OpEx for 500 employees · Claude Sonnet 4
Key cost considerations for software
- Agentic loops (multi-step planning + tool use) are the single largest cost driver — track them separately.
- Codebase RAG indexing scales with repo size, not user count — budget once per repository.
- Caching and prompt deduplication can cut effective cost 30–50%.
- Plan for output-heavy workloads (code generation): output tokens are 3–5x more expensive than input.
Primary AI workloads in this industry
- AI code generation cost calculator — 3K – 40K tokens / event, $30 – $250 per engineer / month.
- AI code review cost calculator — 5K – 30K tokens / event, $0.05 – $0.50 per PR.
- AI agent cost calculator — 20K – 200K tokens / event, $0.10 – $3.00 per task.
- RAG cost estimator — 5K – 50K tokens / event, $0.01 – $0.20 per query.
Frequently asked questions
›How much does an AI coding assistant cost per engineer?
Interactive copilots cost $30–$150 per engineer per month at list pricing. Adding background agents (code review, PR generation, autonomous fixes) can double or triple that figure.
›Are AI agents cost-effective for software teams?
Yes when scoped well: agents that own a narrow task (test generation, dependency updates, PR review) typically pay back their token cost in saved engineering hours within 60–90 days.
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