𝗧𝗵𝗲 𝗩𝗶𝗮𝗯𝗶𝗹𝗶𝘁𝘆 𝗧𝗲𝘀𝘁 𝗘𝘃𝗲𝗿𝘆 𝗔𝗜 𝗔𝗿𝗰𝗵𝗶𝘁𝗲𝗰𝘁𝘂𝗿𝗲 𝗙𝗮𝗶𝗹𝘀

Most AI development architectures are broken.

The industry follows a simple formula: Agent = Model + Harness. This logic treats the model as the entire system. This is a mistake.

A working system requires five essential elements. If you miss one, the system fails. If you remove one, the system dies.

Current AI architectures fail because they are missing two of these five parts.

The five elements are:

  • The Tool (The Model): This produces the output, such as code or tests. It is the primary activity, but it is not the system.
  • The Engine (The Specification): This is the human intent. It is a durable, versioned, and checkable definition of what success looks like. Without it, generation has no direction.
  • The Transmission (The Delivery): This moves changes from code to deployment via CI/CD and machine-readable contracts.
  • The Control Unit (Independent Verification): This is the missing piece. It is an independent gate that measures output against the specification. It is not the model checking itself. It must be a deterministic system, like a type checker or a test suite.
  • The Casing (Boundaries and Continuity): This protects the system. It uses module isolation to stop agents from crossing boundaries. It also uses subtraction to prevent unnecessary code bloat.

The problem with "Model + Harness" is that it focuses only on the tool.

A powerful tool without a control unit is a machine that produces unverified errors. A fast transmission without a control unit is a postal service delivering bombs with perfect reliability.

This is why more powerful models often make the problem worse. They simply generate unverified output faster.

To scale to hundreds of agents, you do not need better orchestration. You need better decomposition.

Agents should not work on the same files. They should work on independent modules defined by strict interfaces and contracts. This is how human engineering teams work. They do not coordinate keystrokes; they coordinate through APIs and specifications.

Stop asking what the model needs. Start asking what the system requires to produce correct software.

Source: https://dev.to/bala_paranj_059d338e44e7e/the-viability-test-every-ai-dev-architecture-fails-d3

Optional learning community: https://t.me/GyaanSetuAi