Process Automation and Debugging with AI-Powered Gear

Process Automation and Debugging with AI-Powered Gear

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This creation to activity automation and debugging with AI gear is excepted from the guide Generative AI Gear for Builders: A Sensible Information, to be had now on SitePoint Top class.

Desk of Contents

Process Automation

One of the most tactics engineers could make use of AI-powered gear is with activity automation. Many mundane and repetitive duties may also be computerized with the assistance of AI coding assistants.

Process Automation and Debugging with AI-Powered Gear

As an example, we will ask our AI assistant to generate boilerplate code — for commonplace duties like making a fundamental REST API with routes, controllers, fashions, and so forth. This protects time first of all putting in a challenge skeleton.

The usage of Codeium, right here’s an instance of ways we will generate boilerplate code.

Codeium generating boilerplate code

We will be able to additionally use Cody to generate boilerplate code.

Cody generating boilerplate code

Right here, we will see that, the use of an AI coding assistant like Codeium or Cody, we’re ready to temporarily create a easy Specific server that’s sufficient to get began with the elemental construction and routes outlined. To do that, we need to click on at the Codeium icon, which must be a few of the checklist of extensions at the left facet of our editor (or proper, relying on the place we’ve positioned the icons). Doing this opens up the Codeium chat interface that permits us to keep up a correspondence with the Codeium server. This can be a lot faster than manually writing the entire boilerplate code from scratch.

Right here’s what Codeium offers us:

const specific = require('specific');
const app = specific();
const port = 3000;

app.get("https://www.sitepoint.com/", (req, res) => {
res.ship('Hi Global!');
});

app.concentrate(port, () => {
console.log(`Server listening on port ${port}`);
});

The usage of Cody, right here’s what we get:

const specific = require('specific');

const app = specific();

app.get("https://www.sitepoint.com/", (req, res) => {
res.ship('Hi Global!');
});

app.concentrate(3000, () => {
console.log('Server listening on port 3000');
});

Now let’s ask our AI assistant to write some exams. AI gear too can assist us generate examine instances as a place to begin for trying out our code. This guarantees code is examined from the start, which is vital for high quality and warding off insects. It will assist engineers who’re nonetheless finding out the way to write exams and likewise assist introduce test-driven construction practices right into a codebase with out exams.

Right here’s an instance of ways we will do that the use of GitHub Copilot Labs.

We will be able to additionally generate exams the use of Codeium.

On this instance, we see the Copilot Labs examine characteristic and Codeium in motion. For it to paintings, we wish to supply a serve as for it to check in opposition to:

serve as milliSecondsToDayHourMin = (timeRemaining) => {
  let dayInMilliseconds = 86400000;
  let hourInMilliseconds = 3600000;
  let day = Math.ground(timeRemaining / dayInMilliseconds);
  let hour = Math.ground(
     (timeRemaining - day * dayInMilliseconds) / hourInMilliseconds
  );
  let min = Math.spherical(
     (timeRemaining - day * dayInMilliseconds - hour * hourInMilliseconds) /
        60000
  );
  let seconds = Math.spherical(timeRemaining - min / 60);
  const pad = serve as (num) {
     go back num < 10 ? "0" + num : num;
  };
  if (min === 60) {
     hour++;
     min = 0;
  }
  if (hour === 24) {
     day++;
     hour = 0;
  }
  go back `${day} : ${pad(hour)}  :  ${pad(min)}:  ${pad(seconds)}`;
};

After doing this, it’s ready to generate examine instances to hide other eventualities, similar to legitimate, invalid, and edge instances. The examine case generated can act as a excellent place to begin for builders to put into effect right kind trying out.

Right here’s what Copilot offers us:

describe('examine Untitled_1', serve as() {
  it('examine Untitled-1.milliSecondsToDayHourMin', serve as(accomplished) {
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(0), '0 : 00  :  00:  00');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(60000), '0 : 00  :  01:  01');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(3600000), '0 : 01  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000), '1 : 00  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(172800000), '2 : 00  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(259200000), '3 : 00  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(604800000), '7 : 00  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(604800000), '7 : 00  :  00:  60');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000 + 3600000 + 60000), '1 : 01  :  01:  01');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000 + 3600000 + 60000 + 1000), '1 : 01  :  01:  01');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000 + 3600000 + 60000 + 1000), '1 : 01  :  01:  01');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000 + 3600000 + 60000 + 1000), '1 : 01  :  01:  01');
     assert.deepEqual(Untitled_1.milliSecondsToDayHourMin(86400000 + 3600000 + 60000 + 1000), '1 : 01  :  01:  01');
     accomplished();
  })
})

And right here’s what Codeium offers us:

examine("milliSecondsToDayHourMin - must go back 0 : 00 : 00 : 00 for 0 milliseconds", () => {
  be expecting(milliSecondsToDayHourMin(0)).toBe("0 : 00 : 00 : 00");
});

examine("milliSecondsToDayHourMin - must go back 1 : 00 : 00 : 00 for 86400000 milliseconds", () => {
  be expecting(milliSecondsToDayHourMin(86400000)).toBe("1 : 00 : 00 : 00");
});

examine("milliSecondsToDayHourMin - must go back 1 : 01 : 00 : 00 for 90000000 milliseconds", () => {
  be expecting(milliSecondsToDayHourMin(90000000)).toBe("1 : 01 : 00 : 00");
});

examine("milliSecondsToDayHourMin - must go back 1 : 01 : 01 : 00 for 90060000 milliseconds", () => {
  be expecting(milliSecondsToDayHourMin(90060000)).toBe("1 : 01 : 01 : 00");
});

examine("milliSecondsToDayHourMin - must go back 1 : 01 : 01 : 01 for 90061000 milliseconds", () => {
  be expecting(milliSecondsToDayHourMin(90061000)).toBe("1 : 01 : 01 : 01");
});

Debugging

AI-powered gear also are helpful for debugging. Debugging is among the maximum time-consuming duties any engineer offers with every day, without reference to their revel in degree. Integrating AI gear into the debugging workflow reduces the time spent seeking to perceive what’s going mistaken.

Right here’s an instance of ways we will debug the use of Codeium:

serve as cleanupFounders() {
  const founders = this.orgInfo.founders;
  foundeers.map((file) => {
     delete file.organisation;
     delete file.createdAt;
     delete file.updatedAt;
     delete file.__v;
  });
  this.orgInfo.founders = founders;
}

Codeium Debugging

We will be able to additionally use Cody to debug code.

And right here’s every other instance of ways we will do that the use of GitHub Copilot Labs.

Copilot Debugging

We will be able to see above that Codeium issues out a topic within the code through first working out the founders variable declaration and discovering the typo within the code. It then produces a running model of the code (with out the typo) whilst additionally explaining the real goal of the serve as.

Right here’s the Codeium corrected code:

serve as cleanupFounders() {
  const founders = this.orgInfo.founders;
  founders.map((file) => {
    delete file.organisation;
    delete file.createdAt;
    delete file.updatedAt;
    delete file.__v;
  });
  this.orgInfo.founders = founders;
}

The usage of Cody, we’re additionally ready to debug code through first offering a serve as for it to debug. It then produces a running model of the code whilst additionally explaining the real goal of the serve as. It additionally is going a step additional through suggesting additional concepts to reinforce the code.

When the use of the debug characteristic in Copilot Labs, we’re required to supply a serve as for it to debug. Once we do that, we will see that it mechanically fixes our code and offers us a running model of the code:

serve as cleanupFounders() {
  const founders = this.orgInfo.founders;
  this.orgInfo.founders = founders.map((file) => {
    delete file.organisation;
    delete file.createdAt;
    delete file.updatedAt;
    delete file.__v;
    go back file;
  });
}

With those gear, debugging is more straightforward, quicker, and extra environment friendly. Then again, whilst those gear can assist us out with a majority of these duties, we nonetheless wish to cross over the answers as a way to examine the standard of the code. This fashion, we get to spend time finding out fairly than debugging, looking out the Web, and getting pissed off over insects in our code.

Wish to be informed extra about chatbots, LLMs and different AI gear that allow you to on your paintings as a developer? Take a look at Generative AI Gear for Builders: A Sensible Information, to be had now on SitePoint Top class.

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