Notre avis
Ce skill fournit des bonnes pratiques et directives pour utiliser Inngest, une plateforme d'orchestration de workflows événementiels serverless.
Points forts
- Guide l'utilisation correcte des étapes (step.run) pour éviter les problèmes de sérialisation et de performances.
- Explique les concepts clés comme l'exécution durable, le contrôle de flux et l'observabilité.
- Propose des motifs utiles (Promise.all, step.fetch vs fetch direct, utilisation de step.waitForEvent).
Limites
- Ne couvre pas la configuration initiale ou le déploiement d'Inngest.
- Peut ne pas être à jour avec les dernières fonctionnalités d'Inngest.
- Se concentre sur les bonnes pratiques générales sans exemples concrets de code complet.
Utilisez ce skill lorsque vous écrivez ou refactorisez des fonctions Inngest, gérez des événements, ou optimisez des workflows existants.
Ne l'utilisez pas pour des tâches sans rapport avec Inngest, ou si vous avez besoin d'un guide pas à pas pour débuter avec la plateforme.
Analyse de sécurité
SûrThis skill provides guidelines and best practices for using the Inngest platform. It contains no executable commands, no destructive instructions, and no security-sensitive operations. It is purely educational and advisory.
Aucun point d'attention détecté
Exemples
Create an Inngest function that triggers on a 'user/signed-up' event, validates the payload with Zod, and sends a welcome email using a step.run call. Follow Inngest best practices for serialization and non-deterministic logic placement.Refactor this Inngest workflow that currently nests step.run calls inside each other. Explain why nesting is problematic and restructure it using proper step invocations or Promise.all for parallel steps.Optimize an Inngest function that performs multiple API calls. Replace raw fetch with step.fetch, add rate limiting via concurrency options, and handle failures with NonRetriableError where appropriate. Ensure all non-deterministic logic is inside step.run.name: theo-inngest description: Inngest is a serverless event-driven workflow orchestration platform. It lets you build durable, stateful background jobs and workflows without managing infrastructure. Use this skill when working with Inngest functions, events, schemas, testing, or anything else Inngest-related. metadata: author: "Theo Ai" version: "1.0.0"
Theo Ai's Inngest Guidelines and Best Practices
Comprehensive best practices and guidelines for creating, refactoring, and maintaining Inngest code - maintained by Theo Ai.
When to use
Use this skill when working with Inngest functions and anything Inngest related. This includes, but is not limited to:
- Creating new Inngest functions
- Editing existing Inngest functions
- Managing/editing or creating Inngest events
- Optimizing Inngest code
- Using Inngest built-in tools
- Troubleshooting Inngest-specific issues
Core Inngest concepts:
- Event-driven functions - trigger on events, schedules, or webhooks
- Durable execution - automatic retries, state preservation across failures
- Flow control - concurrency limits, rate limiting, debouncing, prioritization
- Observability - built-in logging, metrics, and tracing
Why use it: You write business logic as "step functions" and Inngest handles reliability, retries, and orchestration. Great for long-running processes, AI workflows, and background jobs that need to survive failures.
Instructions
On how to use step
- In Inngest functions, each step is executed as a separate HTTP
request. To ensure efficient and correct execution, place any
non-deterministic logic (such as DB calls, API calls, random number
generators, etc) within a
step.run()call. - Think of each call to
stepas a separete, self-fulfilling, serverless-like function. - Do not nest calls to
step. Thestepobject must never be nested. - Do not send
stepas argument to function calls. Keep the use ofstepconstrained within the Inngest function. - Returns from calls to
stepare serialized and deserialized by Inngest's infrastructure. This means that complex objects and functions cannot be returned by a call tostep. - Be cognizant of the fact that each call to step is a separate HTTP request and that this adds infrastructure and execution time overheads. With that said, prefer to create algorithms that smartly and efficiently combine functionality within single steps. In other words, try to avoid micro steps. On the other hand, be sensitive to steps that might block execution for too long and become operational bottlenecks. Find a balance.
On serialization caveats
- Serialized returns are also limited to 4MB so, do make sure that returns are within those limits.
On useful patterns
- Come up with algorithms that levarage Inngest's primitives as much
as possible. I.e.
step.fetch()is better than calls tofetchdirectly; a busy-wait loop can probably leveragestep.waitForEvent(),step.sleept(),step.sleepUntil(),step.delay(), etc depending on the scenario - When breaking down functionality, prefer
step.run()overstep.invoke()when possible, as the former allows fanout operations to be aggregated and visualized under the same function call in the Inngest WebUI, improving traceability. However, considerstep.invoke()when you specifically need independent concurrency control, as inlinestep.run()calls cannot have their own concurrency limits separate from the parent function. - In situations where multiple steps can run in parallel, utilize a
Promise.allresolution.
On events schemas
- Make sure to always type the events and returns using the
Zodinfrastructure in place.
On Error-handling and debugging
- Be attentive of when to use
NonRetriableError - When utilizing and event/response pattern, make sure to return events in case of failure and treat them at the waiting side accordingly.
- When logging, use Inngest's
loggerand notconsole.log
On anything else
- Refer to Inngest's documentation (feel free to search the web extensivelly and/or fetch from https://www.inngest.com/docs ) for anything else you need
Anti-patterns to avoid
- Not using Steps
- Not typing events
- Nested steps
- Huge event payloads (must be 4MB or less)
- Ignoring concurrency
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