Trag: Superlinter for any stack

Created

Oct 22, 2024 6:02 PM

AI keywords

AI summary

Trag is a natural language superlinter designed to replace traditional linters and tools like Sonarqube for any tech stack. It allows users to define code patterns in plain English, offering both high-level and context-aware rules. The setup involves installing a GitHub application, writing custom patterns, and opening a pull request. Pricing includes a free hobby tier, a $300/month team plan, and custom pricing for enterprise solutions, with full functionality available for open source projects.

Text

Trag

URL

https://usetrag.com/?ref=producthunt

Replace all linters, Sonarqube and more with natural language superlinter for any stack.

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Trag can lint patterns

Describe your pattern in plain english, it can be very specific, context aware, or it can be very high level, like

High level patterns

Ensure we are not logging sensitive data.

Follow DRY principles.

Context aware patterns

Make sure to wrap any API calls, with module X to handle errors with Y error handling.

While working with the A make sure to do B and C.

Some pattern examples

A pattern in Trag defines a specific rule for code structure or behavior,

for example…

Create

Pattern

Ensure that complex forms using NgRx only dispatch actions to update the store when form values actually change.

import { Component } from '@angular/core';
import { Store } from '@ngrx/store';
import { FormGroup, FormControl } from '@angular/forms';

@Component({
  selector: 'app-profile-form',
  templateUrl: './profile-form.component.html',
})
export class ProfileFormComponent {
  profileForm = new FormGroup({
    firstName: new FormControl(''),
    lastName: new FormControl(''),
  });

  constructor(private store: Store) {}

  onSubmit() {
   this.store.dispatch(updateProfile({ profile: this.profileForm.value }));
  }
}

Trag comment

The dispatch is done every time, regardless of whether the form values have changed, maybe revisit this part and make sure this is intended.

How to set up Trag

Install GitHub application and that's pretty much it.

Step 1

Install GitHub app

Step 2

Write custom patterns

Step 3

Open a Pull Request

Pricing

Simple pricing, so you know what to expect.