Definition
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.
Ticket Created
In Jira, Asana, or any project management tool
Agent Reads Requirements
Parses ticket, explores codebase, reads knowledge base
Agent Plans Implementation
Designs solution following your patterns and conventions
Agent Writes Code
Implements across files, following your coding standards
Agent Creates PR
With description, commits, and context
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
Enterprise
Security
SOC 2
Pursuing
AES-256
Encryption
GDPR
Compliant
Synlets
Autonomous AI teammates that handle routine engineering tasks, so your team can focus on building great products.
Synlets
Autonomous AI teammates that handle routine engineering tasks, so your team can focus on building great products.
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