Software Engineering
The Problem
Coding agents stop at the first plausible solution, generate APIs that don't exist, and lose safety guards during refactoring. The root cause of a production incident is three services upstream, invisible in the local context window. The Code Harness prevents these failures. The Reasoning Harness traces the causal chain. Anti-Deception prevents rubber-stamping code reviews. Memory tracks context across long multi-file sessions.
How Ejentum Solves It
One API call prevents the engineering failures that make AI-generated code dangerous in production: silent correctness bugs, premature algorithm commitment, lost safety guards during refactoring, sentinel collisions, and reasoning spirals that consume the thinking budget without producing code.
How Four Harnesses Protect Your Agents
Code Harness
primaryPrevents silent correctness bugs, reasoning spirals, premature algorithm commitment, lost safety guards during refactoring, and sentinel collisions. 85.7% → 100% on hard competitive programming. Zero bugs on 10 scientific computing problems.
Reasoning Harness
Traces root cause of production incidents across service boundaries. Models migration impact. Enforces causal chain verification before accepting any fix.
Anti-Deception Harness
Prevents rubber-stamping code reviews. Forces honest breaking-change assessment. Blocks the tendency to call a breaking change "backward compatible" to avoid confrontation.
Memory Harness
Tracks codebase context across long refactoring sessions. Prevents stale dependency assumptions across multi-file changes. Detects when requirements shifted implicitly.
Run your next debugging task through the API. See how the injection forces root cause tracing and API verification you did not prompt for.