Wednesday, September 18, 2024
The end of try-catch in JavaScript
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| Register & save your seat now (100 free seats only) | | | | | Featured content | | With the new safe assignment ?= operator you'll stop writing code like this: | // ❌ Before: // ❌ Deep nesting of try-catch for different errors async function fetchData() { try { const response = await fetch('https://codingbeautydev.com'); try { const data = await response.json(); return data; } catch (parseError) { console.error(parseError); } } catch (networkError) { console.error(networkError); } }
| And start writing code like this: | // ✅ After: async function fetchData() { const [networkError, response] ?= await fetch('https://codingbeautydev.com'); if (networkError) return console.error(networkError); const [parseError, data] ?= await response.json(); if (parseError) return console.error(parseError); return data; }
| We've completely eradicated the deep nesting. The code is far more readable and cleaner. | Instead of getting the error in the clunky catch block: | async function doStuff() { try { const data = await func('codingbeautydev.com'); } catch (error) { console.error(error); } }
| Now we do everything in just one line. | Instead of failing loudly and proudly, ?= tells the error to shut up and let us decide what do with it. | // ✅ if there's error: `err` has value, `data` is null // ✅ no error: `err` is null, `data has value async function doStuff() { const [err, data] ?= await func('codingbeautydev.com'); }
| We can tell it to get lost: | | | OpenAI just launched a new model ("o1") and it's HUGE. | Before now there'd been a lot of mystery about an upcoming "Strawberry" model, subtly hinted at by Sal Altman in a cryptic tweet last month. | | The isn't just another version of GPT. This is something completely different. | | OpenAI designed it to excel in tasks that require deeper reasoning—things like solving multi-step problems, writing intricate code (bad news for devs?), and even handling advanced math. | It doesn't just predict the next word. It's been trained to "think". | But didn't AI models already do this? Not quite. | o1 is different because it's been trained using reinforcement learning. A training approach that lets the model learn from its mistakes, getting better over time at reasoning through complex tasks. | How good is it? | OpenAI tested o1 on International Mathematics Olympiad problems and results were jaw-dropping: o1 correctly solved 83% of them. | And guess how many was last year's all-powerful GPT-4 able to solve? | | Thanks for taking the time to read today's issue. | Don't let the bugs byte,
The Coding Beauty team |
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