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ProgramGym

Scaling Training Environments for Long-Horizon Program Reproduction Agents

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This is 1 of 55 launches in reinforcement learning frameworks — see how it stacks up on momentum and crowding →

2779 other launches read as similar to this one →

Details

External ID
1414945276
Source
GITHUB
Company
—
Product
ProgramGym
Website domain
arxiv.org
Launched
Oct. 12, 2026
Cohort
—
Upvotes
12
Upvotes percentile
0.18
Tags
coding-agents, llm-agents, programgym

Enrichment

Niche
reinforcement learning frameworks
Vertical
Horizontal
Function
Model & infra
Audience
Developer
AI stance
AI-native
Project type
Hobby / open-source project
Normalized one-liner
training environments for program reproduction agents
Manually corrected
False

Could you build this?

No ProgramGym is a specialized reinforcement learning and benchmarking platform for evaluating long-horizon software engineering agents. It requires massive isolated execution sandboxing, reproducible environment state management, and academic research into agent training dynamics.

What it would actually take: Requires building a distributed micro-VM/container orchestration cluster (e.g., Firecracker or Kubernetes) that can safely spin up arbitrary repository states, run tests, capture execution traces, and score agent multi-step actions deterministically. The hard parts are environment reproducibility, defending against arbitrary code execution exploits, and handling complex compilation/dependency graphs across hundreds of open-source projects. Demands expertise in distributed infrastructure, systems security, and machine learning research.

Competitors

Other products that read as similar to this one — 2779 launches clear the similarity bar, closest 8 shown.

Attention rank: #2057 of 2780 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).

Launched 348 days after the earliest competitor.

Other launches for this product