# What is Agentic Coding?

AI agents that autonomously implement tickets, create pull requests, and run code reviews — without requiring a human in the loop during execution.

From vibe coding to agentic coding: the next evolution in AI-assisted development.

**Agentic Coding** (n.): A development methodology where autonomous AI agents independently complete software tasks — reading ticket requirements, analyzing codebases, writing implementations, creating pull requests, and responding to review feedback — all without human prompting during execution.

Unlike AI coding assistants (Copilot, Cursor) that require a developer in the loop, agentic coding platforms work independently on assigned tasks. The human role shifts from **pilot** to **reviewer**.

## The evolution of AI in coding

Four stages from autocomplete to full autonomy.

1. **Code Autocomplete**  
   2021–2023  
   Line-by-line suggestions. Developer types, AI completes.  
   Copilot, TabNine

2. **AI Chat Assistants**  
   2023–2024  
   Ask questions, get code snippets. Copy-paste into your project.  
   ChatGPT, Claude

3. **Vibe Coding**  
   2024–2025  
   AI in the editor. You guide, AI writes. Human-in-the-loop.  
   Cursor, Windsurf, Cline

4. **Agentic Coding**  
   2025+  
   AI reads tickets, implements features, creates PRs. Human approves.  
   Synlets

## How agentic coding works

From ticket to merged PR in six steps.

1. **Ticket Created**  
   In Jira, Asana, or any project management tool

2. **Agent Reads Requirements**  
   Parses ticket, explores codebase, reads knowledge base

3. **Agent Plans Implementation**  
   Designs solution following your patterns and conventions

4. **Agent Writes Code**  
   Implements across files, following your coding standards

5. **Agent Creates PR**  
   With description, commits, and context

6. **Human Reviews & Merges**  
   You're the reviewer, not the implementer

## Vibe coding vs agentic coding

They're complementary, not competitive. Use vibe coding for exploratory work, agentic coding for defined tickets.

| Aspect               | Vibe Coding                           | Agentic Coding                        |
|----------------------|--------------------------------------|--------------------------------------|
| Human role           | Pilot — actively steering             | Reviewer — approving results          |
| Input                | Natural language prompts in IDE      | Structured tickets (Jira, Asana)     |
| Output               | Code in your editor                  | Complete pull requests                |
| Requires developer    | Yes — must be present               | No — assign ticket, walk away        |
| Concurrency          | 1 task at a time                     | Multiple tickets in parallel          |
| Code review          | Manual                               | AI reviews automatically               |
| Best for             | Solo devs, prototyping               | Teams with backlogs                   |
| Tools                | Cursor, Copilot, Windsurf           | Synlets                               |
| Who benefits         | Individual developer                 | Entire team (PMs, leads, devs)      |

## Who benefits from agentic coding

Not just developers — the entire team.

- **Engineering Teams**  
  Clear backlogs faster. Redirect senior engineers from routine PRs to architecture and complex problems.

- **Product Managers**  
  Assign tickets to AI agents directly. Get PRs without waiting for developer bandwidth or sprint slots.

- **Tech Leads**  
  Enforce coding standards automatically with AI review agents. Consistent quality across every PR, every team.

- **Founders & CTOs**  
  Multiply team output without hiring. Ship more features with the same team size.

## When to use agentic coding

Best for defined work. Not for everything.

**Good fit**  
- Bug fixes with clear reproduction steps  
- Feature implementation with defined requirements  
- Test coverage additions  
- Refactoring within established patterns  
- Compliance and standards updates  
- Backlog clearance at scale

**Not ideal**  
- Architecture decisions requiring human judgment  
- Ambiguous requirements ("make it better")  
- Novel research and exploration  
- Performance optimization needing profiling

## Start using agentic coding today

Assign a Jira or Asana ticket to an AI agent. Get a working PR back — reviewed, tested, and ready to merge.

No credit card required  
Free credits to start  
Your code stays yours

[Synlets](/content/site-root.html)

Autonomous AI teammates that handle routine engineering tasks, so your team can focus on building great products.