Coding Agent Intelligence Platform
When AI builds, does it choose you?
Pick rates, competitive position, and category playbooks. Across Claude Code, OpenAI Codex, Cursor, and others, refreshed on every major model release.
How we run benchmarks
Real coding agents running against real codebases, with the primary pick captured every time. Refreshed 24 to 48 hours after every major model release. Read the public report →
The new discovery channel doesn't show up in your standard analytics.
Winners Get Everything
When an agent picks a winner, it's a near-monopoly. The runner-up is invisible.
Losers Disappear
Established tools with massive market share that AI agents simply ignore.
Trends Move Fast
A single model generation can flip market share. These shifts happened in months.
Agents Build, Not Buy
In many categories, AI agents build custom solutions instead of recommending any vendor tool.
Feature Flags: Config files + env vars + React Context providers + percentage-based rollout with hashing
Methodology
How we run the benchmarks
The dataset is the product. We don't score agents on synthetic benchmarks. We point them at real codebases, capture every decision, and re-run on every release.
Real coding agents
Claude Code, OpenAI Codex, Cursor, and others run via their actual CLIs. Same binaries developers use. Not API calls, not mocked outputs.
Real codebases
Next.js SaaS, Python API, Go service, Ruby on Rails, Swift iOS, Solidity DeFi, and more. Repos chosen to mirror the contexts your customers actually ship in.
Verbatim capture
Primary pick, alternative tools mentioned, packages installed, files written, and the agent's full reasoning transcript. Extracted on every run.
Continuous re-runs
Suite refreshes 24 to 48 hours after every major model release. Trend data compounds. You see when and where a new model shifts your position, and changes to the landscape.
Your tool's AI agent dashboard
Vendor intelligence dashboard, illustrative. Format and depth shown, not the actual data.
Your category
Also mentioned, not picked
Helio 22% · Argus 17% · Bedrock APM 9%
Agent Coverage
Generational shift across Codex
Where agents pick you
Agent response preview
Inside every vendor report
Competitive Analysis
Head-to-head breakdown vs every alternative in your category
Model Trend Tracking
Are newer AI models picking you more or less? Direction matters.
Prompt Trigger Map
What developer intent phrases lead agents to pick your tool
Stack Heatmap
Which project types, languages, and frameworks favor you
Agent Verbatim Quotes
The exact words each agent uses to describe and recommend you
Custom/DIY Threat Score
How often agents build instead of recommending any tool in your category
Strategic Playbooks
Defensive and offensive proposed actions. Each finding becomes a shippable move.
Continuous Re-runs
Automatic refresh on every major model release. Your dashboard stays current with the agent stack.
Executive Summary
Stakeholder-ready readout that updates every run.
Playbooks
Defensive and offensive playbooks, per category.
Each entry pairs a specific finding from your dataset with an evidence-based action.
Findings paired with proposed actions to defend pick rate where competitors or DIY are gaining ground in your category.
Findings paired with proposed actions to win prompts where the category is contested, or where DIY is the default.
Who this is for
DevRel & Developer Marketing
What AI says about your tool, and which alternatives get named alongside it.
Product & Engineering
Which parts of your product agents recommend, and which surfaces they skip.
Founders & Executives
Your category market share in the agent channel, with the trend line per model release.
Understand what and how agents choose.
Private dashboard, continuous re-runs, and category playbooks. Built on how coding agents see your category today.
Preview access for early partners. No commitment. Privacy & Terms