# Do coding agents recommend Inngest?

> Inngest was chosen in 7% of 681 judged agent frameworks sessions, ranking third. Measured with Claude Code, Codex and Cursor.

Source: https://armature.tech/library/do-coding-agents-recommend-inngest
Published: 2026-09-03
Publisher: Armature, Inc. (https://armature.tech)

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> Inngest was chosen in 7% of 681 judged agent frameworks sessions, ranking third. It was also raised as a candidate in 59 further sessions without being chosen.

This page reports what happened when Claude Code, Codex and Cursor had to solve a problem in agent frameworks inside a realistic codebase. Not what a chat assistant says about Inngest. What an agent actually installed.

## The numbers

| | |
| --- | --- |
| Category | Agent frameworks |
| Sessions in the category | 681 |
| Sessions where Inngest was chosen | 50 |
| Install share | 7% |
| Rank in category | 3 of 35 |
| Codebases it won in | 4 |
| Raised as a candidate, not chosen | 59 |
| Chosen when considered | 46% |
| Site | inngest.com |

## By agent

The three agents agree closely on Inngest, choosing it at rates within 4 points of each other.

| Agent | Sessions | Chose Inngest | Share |
| --- | --- | --- | --- |
| Claude Code | 237 | 18 | 8% |
| Codex | 243 | 21 | 9% |
| Cursor | 201 | 11 | 5% |

## By who was asking

Inngest performs similarly across the four kinds of buyer, from 0% to 14%. That is unusual: the category leader changed with the persona in 14 of the 18 categories we measured.

| Who is asking | Sessions | Chose Inngest | Share |
| --- | --- | --- | --- |
| Vibe coder | 163 | 15 | 9% |
| Junior developer | 157 | 0 | 0% |
| Senior engineer | 254 | 35 | 14% |
| Enterprise team | 107 | 0 | 0% |

## What Inngest was up against

The full ranking in agent frameworks, from the same sessions:

| # | Product | Runs won | Share |
| --- | --- | --- | --- |
| 1 | Built in-house (no product adopted) | 170 | 25% |
| 2 | Vercel AI SDK | 95 | 14% |
| 3 | Cursor SDK | 94 | 14% |
| 4 | Inngest **(this page)** | 50 | 7% |
| 5 | Temporal | 29 | 4% |
| 6 | Prism | 28 | 4% |
| 7 | OpenAI Agents SDK | 24 | 4% |
| 8 | LangGraph | 23 | 3% |

## What this means

Inngest was raised in 59 sessions and chosen in 50. That ratio is balanced enough that the ceiling is presence rather than integration: the product converts reasonably when it is on the table, and it is not on the table often enough.

## Where these numbers come from

The 681 sessions in agent frameworks are part of a published set of 5,292, run with real coding agents inside realistic codebases and judged blind. The full method is on one page: [how we measured this](/library/how-we-measured-this).

Every agent frameworks run can be replayed on [the board](/leaderboards/agent-frameworks).

If you work on Inngest: the judge recorded a reason for every session where it was raised and passed over. Those reasons are in the transcripts.

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## Common questions

### Do coding agents recommend Inngest?

Yes. Inngest was chosen in 50 of the 681 judged sessions in agent frameworks, a 7% install share, ranking third in its category.

### Does Claude Code recommend Inngest?

In 18 of the 237 sessions in agent frameworks run with Claude Code, which is 8%.

### Do different coding agents treat Inngest differently?

Not much. The three agents chose it at similar rates, between 5% and 9% of their runs.

### How was this measured?

Real coding agents at pinned versions were run in sandboxes inside 51 realistic codebases and asked to solve real tasks. A simulated project owner approved or questioned each recommendation before any code was written, and a judge from a model family that builds none of the agents read every session blind.

### How often is Inngest considered but not chosen?

It was raised as a candidate in 59 sessions without being chosen, and chosen in 50. That is a 46% conversion from considered to chosen.

## Read next

- [How to get picked for agent frameworks by coding agents](https://armature.tech/library/agent-frameworks-coding-agents-playbook) (Markdown: https://armature.tech/library/agent-frameworks-coding-agents-playbook.md)
- [Do coding agents recommend Vercel AI SDK?](https://armature.tech/library/do-coding-agents-recommend-vercel-ai-sdk) (Markdown: https://armature.tech/library/do-coding-agents-recommend-vercel-ai-sdk.md)
- [Do coding agents recommend Cursor SDK?](https://armature.tech/library/do-coding-agents-recommend-cursor-sdk) (Markdown: https://armature.tech/library/do-coding-agents-recommend-cursor-sdk.md)
- [Do Claude Code, Codex and Cursor pick the same tools?](https://armature.tech/library/do-claude-code-and-codex-agree) (Markdown: https://armature.tech/library/do-claude-code-and-codex-agree.md)

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Armature helps software products get discovered and used by coding agents.
Service: https://armature.tech/discoverability · Results: https://armature.tech/leaderboards/sectors · Contact: contact@armature.tech
