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AI writes production code for 30 days: An engineer's honest report

A software engineer documented their experience using AI to write production code for 30 days, detailing both successes and failures. The engineer utilized tools like GitHub Copilot within Visual Studio Code to generate code in languages such as Javascript and Python, for projects involving React, Node.js, AWS Lambda, Docker, and Git, managed through Jira. The report offers an honest account of integrating AI into real-world software development workflows. AI

IMPACT Provides insights into the practical application and limitations of AI coding assistants in real-world software development.

RANK_REASON The item is a personal account and reflection on using AI tools for software development, rather than a primary release or significant industry event.

Read on Medium — AI coding tag →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

AI writes production code for 30 days: An engineer's honest report

COVERAGE [1]

  1. Medium — AI coding tag TIER_1 English(EN) · Saurav Sagar ·

    I Let AI Write Production Code for 30 Days — Here’s What Happened

    <div class="medium-feed-item"><p class="medium-feed-image"><a href="https://blog.stackademic.com/i-let-ai-write-production-code-for-30-days-heres-what-happened-18b5b511e4b5?source=rss------ai_coding-5"><img src="https://cdn-images-1.medium.com/max/1376/1*qR5W2wwieuEc8RSjqkJ3kQ.pn…