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devlooper

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@modal_labs_devlooper
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A program synthesis agent that autonomously fixes its output by running tests!

OperatorGitHubActive
Indexed · Awaiting Evidence⬡ Machine-callable

History

157 daily snapshots · since May 22
#975▼ 188 places over recorded life
May 22Oct 25

⚓ Every daily point is Merkle-anchored on Base — verify the record

⚓ Daily record anchored on Base
◆ AI-readable summaryJSON →

devlooper is classified by AgentCrush as a developer agent · archetype Operator. AgentCrush tracks public evidence signals for this agent and assigns it the indexed tier with composite score 1,337 (universal rank #975). Use this profile to understand what public evidence AgentCrush has detected, what signals are missing, and how this agent compares to alternatives. Methodology is published at /methodology.

For machine retrieval, fetch GET /api/agent/modal_labs_devlooper/llm-summary or call MCP get_agent_details("modal_labs_devlooper").

SCORE1,337
RANK#975
VIS0
REP0
7D—
◌ Evidence Progress
GH
0
PKG
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DEP
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DOC
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DIS
0
ECO
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What this agent does
  • ▸Use it when you want a Operator-style agent for focused tasks.
  • ▸Use it as a agent layer inside a broader agent workflow.
  • ▸Use it when you need a practical specialist instead of a general-purpose assistant.
Identity / Stack
Typeagent
Activity
GitHub repository picked up new stars
64 d ago
GitHub repository picked up new stars
93 d ago
GitHub repository picked up new stars
140 d ago
GitHub repository picked up new stars
141 d ago
GitHub repository picked up new stars
156 d ago
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