Asif Waliuddin is the Founder and CEO of NXTG.ai, where he leads strategic initiatives in enterprise AI transformation.
AI writes code fast — but a 2025 Veracode study found models chose insecure code 45% of the time, and a METR trial found developers 19% slower. Here is the gap.
CRUCIBLE is a governance protocol that audits whether an AI agent's own test-and-coverage system provides evidence not controlled by the same producer. Three forensic cases: 3,277 passing tests hid silent data loss; a 77% coverage badge masked an audit estimate of ~15%; 4,726 passing tests could not prove real-database reachability.
How NXTG.ai governs 18 software projects with autonomous Claude Code agents using a 7-layer autonomy stack, a 23-principle constitution, and a file-based directive protocol that survives process death and machine reboots.
A production-scale study of brokerless multi-agent AI coordination: two autonomous agents on two machines governed a 21-project portfolio for 21 weeks using a version-controlled git repository as the sole coordination substrate — no message broker, no shared database, no orchestration service.
Measurement fraud is when the AI system that produces code also grades it, so evals pass while the code is broken. Definition, how to detect it, and how to prevent it.
A newer, higher-benchmarking model was available at the same price. I rolled my chief-of-staff agent fleet back to the older version anyway. Here is the evidence on both sides, including the part that disagrees with me, and why for agentic systems harness fit beats model tier.
