AgentFarm offers parallel agent execution on your codebase with zero setup and GitHub native integration. Streamline your development workflow with automated PR suggestions, code reviews, and continuous improvements.
Developer & AI Platformaide.devTracked since 2026-08-211 discovery source
10.2KBacklinks
339Referring domains
24Domain authority
-5.2%Referring domains · 90 days
Authority & distribution
How strong is AgentFarm’s web footprint?
Backlinks measure accumulated distribution; referring domains show how broadly that authority is spread. Both are observable on the open web, so both are published for every product here.
Backlinks
10.2KCurrent snapshot
Referring domains
339Current snapshot
Authority
24Domain authority · category median 22
90-day move
-5.2%Referring domains, last 90 days
At 24, AgentFarm sits above the 22 median for its category.
Trajectory · Pro
The counts above are the latest of 370 daily observations. The curve through them is on the full profile.
Traffic makes more sense when you can connect it to the actual product promise.
“AgentFarm”
AgentFarm offers parallel agent execution on your codebase with zero setup and GitHub native integration. Streamline your development workflow with automated PR suggestions, code reviews, and continuous improvements.
Developer & AI PlatformSeen 2026-08-21 → 2026-08-21Coverage tier C
What we have measured
5 of 8 signal groups are available for this product: identity, traffic and engagement, authority and backlinks, AI referrals, search demand.
Not measured for this domain: audience demographics, country distribution, acquisition mix. Those sections are left out of the page rather than filled with estimates.
Canonical website: https://aide.dev
Observed across 1 discovery source.
Research questions
What the evidence answers about AgentFarm.
Every answer is tied to a source we collected, and the questions with no evidence behind them are left unanswered rather than guessed.
What does AgentFarm do, and what problem does it solve?
AgentFarm offers parallel agent execution on your codebase with zero setup and GitHub native integration. It streamlines development workflows by providing automated PR suggestions, code reviews, and continuous improvements.
What features or capabilities does AgentFarm offer?
AgentFarm offers parallel agent execution on a codebase, zero setup, and GitHub native integration. It includes automated pull request suggestions, code reviews, and continuous improvements to streamline the development workflow.
What is AgentFarm used for, and in what situations?
AgentFarm is used for automating software development tasks such as code reviews and pull request management. It is designed for situations where developers want to scale their workflow and improve efficiency with AI-native tools.
Who is AgentFarm for?
AgentFarm is for developers and software engineering teams. It is categorized as a Developer & AI Platform, focusing on AI-native developer tools for software engineering.
What is AgentFarm?
AgentFarm is an AI-native developer tool that provides AI agents for software engineering. It automates development tasks like code reviews and pull request suggestions.
5 of 6 research questions are answered for this product. The rest need source evidence we have not collected yet, so they are left unanswered rather than guessed.
Behind the lock
Unlock full AgentFarm intelligence.
Backlink trajectoryThe figures above are the latest observation. The daily curve behind them holds 370.
AI referral detailHow much traffic assistants send.
Search structure and ranking depthOrganic against paid, brand against non-brand, and how many keywords rank in the top three against the long tail — which is what decides whether the demand is portable or tied to the name.
Traffic and engagementMonthly visits, the history behind them, and what visitors do once they arrive.
The rest of the marketPage through every leaderboard 100 rows at a time, put any five products side by side, and query the whole dataset over API / MCP.
Worldwide estimates · Data period 2026-05-01 → 2026-07-31. Figures are measured estimates intended for market research. Signals we have not measured for this domain are omitted, never estimated; a measured zero is still reported as zero. How this was measured