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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

112 daily snapshots · since May 22
#971 184 places over recorded life
May 22Sep 10

⚓ 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 #971). 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#971
VIS0
REP0
7D
◌ Evidence Progress
GH
0
PKG
DEP
DOC
DIS
0
ECO
◆ Signal SourcesRaw values from primary sources
GitHub Activity41.74GitHub
Docs Quality25Source
HN Discourse17.18HN
Snapshot updated every 4h · methodologyFlag / Dispute
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
19 d ago
GitHub repository picked up new stars
48 d ago
GitHub repository picked up new stars
95 d ago
GitHub repository picked up new stars
96 d ago
GitHub repository picked up new stars
111 d ago
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