One root cause: agents write code nobody can trust. It lands differently on whoever is accountable. The engineer feels one thing, the CFO another, compliance a third. Proof is what you hand each of them.
Who they are: runs the agents, owns the repo. What keeps them up: two engineers’ agents ship contradictory changes and neither one knows until prod breaks.
Coordination. Cursor, Copilot, Claude Code each make one developer faster in one repo. Nobody coordinates the fleet, so contradictory changes ship and neither author finds out. You sped up the individual. The bottleneck was always coordination.
A certified engineer can direct, correct, and check agent work. Once the agent is certified too, you stop re-reading every result and spot-check a worker you already trust.
Re-reading every change → spot-checking work you trust. Writing every line → directing and verifying.
What proof hands themA credential ($25 in jusCode) that says you can run an agent fleet without burning the place down.
Who they are: signs the inference bill and answers for it. What keeps them up: the token meter tripled while prices fell, and nobody can say what the spend produced.
Cost per shipped requirement. The bill measures burn, not conversion. A vague prompt, a wrong guess, a wrong ship, then round after round of rework. The meter never tells you what the tokens actually produced.
Spend gets capped before the call, not after the invoice. Trusted output ships without endless rework. We learned that one the hard way, with a real product, in front of 130+ real users.
Paying per token → paying per shipped requirement. Burn you find on the invoice → a cap before the call.
What proof hands themA number that ties spend to what shipped, instead of a meter that only counts tokens.
Who they are: answers for what the code does versus what the business asked for. What keeps them up: finding out in an audit that the two stopped matching.
Specification drift. The code stops matching what the business asked for, and you find out in an audit, not in development. An auditor asks why a function exists, and no link survives from intent to shipped code.
Intent gets captured in a system, so the link from requirement to shipped code survives. When someone asks who approved a machine-written change, the answer exists.
Point-in-time review → a trail you can follow. Trust by assertion → trust by evidence.
What proof hands themAn answer to “who approved this” that holds up after no human wrote the code.
Who they are: accountable for risk when code no human wrote reaches prod. What keeps them up: being the name on the audit when the model shipped the flaw.
Unverifiable agent-authored code reaching prod. A wider attack surface. Secrets and PII moving through agents. The question with no good answer: who is accountable when the model wrote it.
Every artifact arrives with provenance and a pass record. Security moves from blocking every change to owning the gates. Continuous evidence replaces point-in-time review.
Gatekeeping every change → governing the gates. Trust by review → trust by evidence.
What proof hands themA pass record on every artifact, so review stops being the only thing standing between an agent and prod.
Who they are: owns reproducibility, cost, and the blast radius of every pipeline. What keeps them up: a build that cannot be reproduced and a bill that climbs while agents loop.
Builds that cannot be reproduced and environments that drift. Compute and inference cost spiraling as agents loop. Vendor lock-in. Black-box pipelines nobody can open.
Reproducible, model-agnostic runs (that is what jusInfer is for). Spend capped before the call keeps cost sane. One doctrine across every product instead of N bespoke pipelines.
Artisanal pipelines → an instrumented floor you can reproduce.
What proof hands themRuns you can reproduce and a cost cap that holds, instead of a bill you read after the agents already looped.
Who they are: the person paged when it breaks. What keeps them up, literally: the page at 2am for a change no human in the building can explain.
Paged at 2am for code no human understands. No trace from incident to cause. Opaque autonomous changes landing overnight while everyone slept.
Every artifact traces back to its intent, its evidence, and its author. Root-cause gets faster. Debuggability is a shipped property, not a hope at 2am.
Archaeology → a trail you can follow. The check on a person on call → the check in the system.
What proof hands themA trail from incident to cause, so the 2am page comes with an answer instead of an archaeology dig.
Whoever signs the check feels the same problem as a different symptom. The fix is the same in every case: capture the intent, prove the work, hand over the evidence. Start by certifying the engineer.