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

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