OpenAI 2026 hackathon

CODE 2.0

"CODE 2.0 is a zero-trust agentic execution engine. It locks interface contracts before coding, runs automated test harnesses, and seals builds with cryptographic SHA-256 receipts."

Solo project by Amir Khodabakhsh · 0 likes · 0 comments

Archive position — measured, not model output

0 likes on Devpost

2,264 of the 7,856 archived projects have more likes, and 5,592 share exactly 0 — so this project's #3,335 place in the like-ranked listing is a tie-break inside that group, not a ranking.

Projects (log scale)

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Likes on Devpost. ▲ marks this project's group.

Show the figures
LikesProjectsShare of archive
05,59271.2%
11,75822.4%
22853.6%
3–41321.7%
5–9751.0%
10+140.2%
Devpost like counts for all 7,856 archived projects, captured when this archive was built.

Executive Summary

What the company appears to be: CODE 2.0 is described by its author as a "zero-trust agentic execution engine" for software development. It claims to lock interface contracts before coding, run automated test harnesses, and seal builds with SHA-256 receipts.

What changed: This is a self-reported project submitted to the OpenAI 2026 hackathon. There is no evidence of prior existence or development beyond this submission.

Single most important open question: What specific problem does CODE 2.0 solve, and how does it differ from existing CI/CD or code execution tools?

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What The Product Actually Is

The description states that CODE 2.0 is a "zero-trust agentic execution engine". It claims to:

  • Lock interface contracts before coding
  • Run automated test harnesses
  • Seal builds with cryptographic SHA-256 receipts

Evidence: The author's own self-description.

Inference: The product appears to be a tool for secure, automated software build and testing processes. However, the description does not clarify what "agentic execution" means in this context or how it differs from existing tools.

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Positioning & Claim Evolution

The project is positioned as a "zero-trust agentic execution engine". The tagline emphasizes:

  • Zero-trust security
  • Agentic behavior (autonomous execution)
  • Interface contract locking
  • Automated testing
  • Cryptographic sealing

Evidence: The tagline and self-description.

Inference: This suggests a move toward secure, autonomous software development environments. However, no claim is made about market positioning or competitive differentiation beyond the stated features.

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Target Customer & ICP

Not evidenced.

What would fill this: A description of the intended user base, use cases, or customer personas.

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Business Model & Pricing Evidence

Not evidenced.

What would fill this: Information on monetization strategy, pricing tiers, or revenue model.

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Technical & Delivery Signals

The project was built using:

  • Python
  • Docker
  • ast
  • hashlib
  • setuptools
  • stdlib
  • subprocess
  • threading
  • threadinghttpserver
  • unittest
  • urllib
  • deepseek-api

Evidence: The author-declared tech stack.

Inference: The use of Docker and Python suggests a focus on containerized, scriptable development. The inclusion of deepseek-api may indicate integration with LLMs or AI tools, but no further clarity is provided.

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Traction & Maturity Signals

Not evidenced.

What would fill this: Evidence of users, customers, revenue, product usage, or milestones achieved.

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Competitive Context

Not evidenced.

What would fill this: Information on existing tools in the space (e.g., CI/CD platforms, secure build systems, agentic frameworks).

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Key Risks & Red Flags

  • The project is a single-person hackathon submission with no evidence of traction or prior development.
  • No clarity on how it differs from existing tools like GitHub Actions, Jenkins, or other CI/CD platforms.
  • The term "agentic execution engine" is not defined in the description — it may be a marketing term without technical substance.
  • No mention of security features beyond SHA-256 receipts — unclear if this is sufficient for zero-trust claims.

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Diligence Questions To Ask The Founders

  1. What specific problem does CODE 2.0 solve that existing tools do not?
  2. How does it implement "zero-trust" in practice?
  3. What are the real-world use cases or customer pain points it addresses?
  4. Is there a prototype or demo available for evaluation?
  5. How does it integrate with current development workflows?

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Investment/Partnership Verdict

Not evidenced.

What would fill this: Evidence of market traction, revenue, team strength, or strategic fit for investment or partnership.

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Source

Submitted to the OpenAI 2026 hackathon on Devpost. Project home on DevPost.

The analysis above was generated by a language model from the project's own one-line description. It is not independent research and contains no verified traction, revenue or customer data.