At Codemancers, we believe every day is an opportunity to grow. This section is where our team shares bite-sized discoveries, technical breakthroughs and fascinating nuggets of wisdom we've stumbled upon in our work.
\pset pager off. This command is useful for seeing data from tables with huge jsonb data
undefined value to follow the JSON specification. According to the JSON standard, properties with undefined values are not allowed in JSON objects, these are the allowed JSON values: object, array, number, string, true, false, or null.null or defaults for missing data. On the frontend, ensure data is present before accessing it.// let's say we want to show logos of our client
.logo {
background-image: url('client-logos-sprite.png');
background-repeat: no-repeat;
}
.client1 {
background-position: 0 0;
}
.client2 {
background-position: -100px 0;
}
// implementation of login test
const apiEndpointURL = "https://example.com/api/endpoint";
const apiResponse = await page.evaluate(async (url) => {
const response = await fetch(url);
return await response.json()
}, apiEndpointURL)
console.log(apiResponse)class String
def reverse
'Reverse op blocked'
end
end
'Hello'.reverse
>> 'Reverse op blocked'gmail-tester which help use to retrieve mail from the gmail, its have lots of option like from, to, subject, mail_body etc
bugsnag.notify() . It also takes an error object and captures it as an event. And we can set it up for different environments by using ENV (similar to sentry) or manually configure it as well.try {
// Some code here
} catch (error) {
bugsnag.notify(
new Error(`Error ${error} while sending Standup popup`)
);
}captureException() and captureMessage().captureException() method is used to explicitly report errors and exceptions. We can pass an Error object to captureException() to capture it as an event in Sentry.captureMessage() method is used to capture a simple message for debugging purposes. Typically, messages captured with captureMessage() are not emitted as events. We can additionally add severity level to this. Available levels are "fatal", "error", "warning", "log", "info", and "debug".
const server = setupServer(
rest.get(`/api/channels/C04UPJ9243E/members`, (req, res, ctx) => {
return res(
ctx.json({
members: [{ name: "Sibtain", image: "abcd.jsp", id: 123 }],
})
);
})
);beforeAll(() => server.listen());
afterAll(() => server.close());afterEach(() => server.resetHandlers());test('render stuff, () => {
}Showing page 44 of 83
AI is everywhere but it's unclear which investments will actually move your metrics and which are expensive experiments.
Most AI projects fail at the data layer. Pipelines, quality, access all need work before LLMs can deliver value.
Your engineers are shipping product. They don't have capacity to also become AI specialists with production-grade experience.
Aging, undocumented codebases make AI integration slow, risky, and expensive. They need to move first.