What Is Agentic Coding?
The Shift That Already Happened
Most teams using AI today are still in assisted mode. Their developers get suggestions, ask questions, generate snippets. Useful, but the developer is still doing the driving. Agentic AI is a different category entirely: it writes entire features, reviews pull requests, and runs 3-5 concurrent coding sessions.
I was skeptical when I first tried these tools. I'd shipped everything from SaaS platforms used by thousands of students to ad tech tools to a podcasting platform (Computer Engineering at UPR Mayagüez, MS from Georgia Tech). I'd seen plenty of "this changes everything" tools come and go. But when I moved from Cursor's early agents to Claude Code, something actually shifted. For the first time, I wasn't babysitting a context window or prompting file by file. The agent understood my codebase and made real architectural decisions. Not perfect, but no longer a toy.
- AI suggests code, developer decides what to use
- Developer does 95% of the work, AI fills gaps
- One developer = one task at a time
- Speeds up typing, not thinking
- No context beyond the current file
- Writes entire features from a description
- AI does 70-80% of implementation, developer guides and reviews
- One developer manages 3-5 parallel AI sessions
- Handles the 'how' so developers focus on 'what' and 'why'
- Understands your entire codebase, tests, and conventions
Signs Your Team Is Still in AI-Assisted Mode
- Your developers use Copilot only for code completion
- AI tools aren't part of your code review process
- Nobody on the team has tried Claude Code, Cursor Agent, or similar tools
- Your CI/CD pipeline wasn't designed for AI-generated code
- Developers still context-switch between one task at a time
- You measure productivity by lines of code, not features shipped
Curious where your team actually stands? I do a free AI Readiness Audit: 30 minutes, your actual codebase, a prioritized list of what to fix first.
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