26 tasks, each one witnessed by the sources that watched the job — and behind every one, a prompt you can use tonight.
You’ll split time between coding, meetings, and maintenance. Mornings often include client calls or reviewing design files from Adobe Creative Cloud, then coding features or fixing bugs for a few hours.
Afternoons frequently involve testing across browsers and devices, deploying updates to a server or AWS EC2, and checking logs for errors or security alerts. You also spend time backing up site files and answering user emails or setting up automated responses.
Start with Amazon Web Services basics: EC2 for servers, S3 for file storage, and CloudFormation for repeatable setups. These cover most deployment and scaling needs clients ask for.
Also learn a database you can integrate into sites, such as Amazon DynamoDB or Redshift for analytics. Knowing how to install and configure an HTTP server and set up server directory trees is essential.
Use AI for drafting code snippets, writing tests, or generating documentation, but always review everything line by line. AI can suggest insecure patterns or outdated libraries, so treat its output as a first draft.
Never paste client secrets, passwords, or private database schemas into an AI prompt. Keep backups and version control, and test AI-generated code in a safe development environment before pushing to production.
Bureau of Labor Statistics (BLS) reports about 70,190 employed in related web developer roles with a median annual wage of $92,650; the lowest tenth is $48,100 and the top tenth is $162,290. These numbers describe the occupation broadly, not freelance only.
As a freelancer you might charge hourly or per-project. Your income depends on skills (e.g., AWS, database integration), client types, and how many billable hours you keep. Use the BLS figures to set goals and pricing.
Build small, complete projects: a static site using HTML/CSS, then add JavaScript for interactivity and AJAX for async data. Host one project on an EC2 instance and back it up to local directories.
Learn to connect a simple database (DynamoDB or a SQL option) to a web form, write basic documentation and test plans, and practice deploying with CloudFormation or a similar tool. Show these projects to clients instead of a degree.
Learning how to deploy and maintain sites on a cloud platform such as AWS (especially EC2 and CloudFormation) moves you from hobby projects to billable work. Clients want sites that stay up and scale.
Pair that with basic database integration (DynamoDB or Redshift for analytics), automated backups, and cross-browser testing. Those concrete skills let you troubleshoot, document performance, and charge more reliably.