Your code review is obsolete

Code review was built for a world where humans wrote the code. At Google 75% of new code is now AI-generated, at Anthropic over 80%. The machine writes. The question is who steers.

Then: experience. Now: judgement.

The old model rewarded years at the keyboard: craftsmanship was what generated capacity - the more experienced the hands, the more got built. Today agents generate the capacity, and the decisive skill is reviewing what they produce - with a firm grip on composable architecture and agentic development.

Then: obedience. Now: intervention.

The old tools rewarded compliance - follow the rules, match the template. Agent-written code passes those checks easily, and duplicates logic at machine speed. What matters now is the human who intervenes: challenges, corrects and refines the machine, keeps the architecture composable, and documents it so the system stays ownable.

The four dimensions as functionA two by two grid with columns Then and Now and rows System level and Team level. Capacity (then, system level): the engine of development. Composable (now, system level): the shape of the system. Craftsmanship (then, team level): the care in every change. Cooperation (now, team level): the steering of the work. Caption: then, we reviewed how humans programmed the machine; now, we audit how humans intervene so it does not deviate.THENNOWSYSTEM LEVELWhat is builtCapacityThe engine of development: turning ideas into workingcode. How much gets built, how fast, in how manytechnologies.ComposableThe shape of the system: one definition per businessrule, components shared rather than copied. How whatis built can grow.TEAM LEVELHow it is builtCraftsmanshipThe care in every change: dependencies kept current,secrets kept out, tests written. How long what is builtwill last.CooperationThe steering of the work: guardrails, plans, review andhandover between people and agents. Who else cancarry it.Then, we reviewed how humans reactively programmed so the machine would perform.Now, we audit how humans proactively intervene so the machine does not deviate.
The four dimensions as functionA two by two grid with columns Then and Now and rows System level and Team level. Capacity (then, system level): the engine of development. Composable (now, system level): the shape of the system. Craftsmanship (then, team level): the care in every change. Cooperation (now, team level): the steering of the work. Caption: then, we reviewed how humans programmed the machine; now, we audit how humans intervene so it does not deviate.SYSTEM LEVELWhat is builtTHENCapacityThe engine of development: turning ideas intoworking code. How much gets built, how fast,in how many technologies.NOWComposableThe shape of the system: one definition perbusiness rule, components shared rather thancopied. How what is built can grow.TEAM LEVELHow it is builtTHENCraftsmanshipThe care in every change: dependencies keptcurrent, secrets kept out, tests written. Howlong what is built will last.NOWCooperationThe steering of the work: guardrails, plans,review and handover between people andagents. Who else can carry it.Then, we reviewed how humans reactivelyprogrammed so the machine would perform.Now, we audit how humans proactivelyintervene so the machine does not deviate.

The risk is not bugs. It is losing control.

Software no one steers becomes software no one can change, scale, sell or hand over. It surfaces late: in a due diligence, a key person leaving, a rewrite nobody budgeted for. Remove the human from the loop and you remove the only one who can tell the machine it is heading the wrong way.

The new question

Not "is the code correct?" but "is this team steering the machine - or just accepting it?" AgenticReview measures exactly that.

Vibe coding, agentic coding, AI coding assistants - one shift

Vibe coding, agentic coding and AI coding assistants describe the same shift from different angles: the machine writes, the human directs. Vibe coding is the fast, exploratory end; agentic coding is the engineered end, with plans, guardrails and review. Both produce code faster than any team can read - which is why steering, not typing, now decides the result.

Whatever you build with - Claude Code, Codex, Cursor, Copilot or Lovable

Whether you use Claude Code or Codex as your coding agent, and Cursor, Copilot or Lovable around it, you will need the same thing: a way to see if the team steers the agents or just accepts what they produce. AgenticReview reads it from the git history, independent of the tool - so you can switch tools without losing the measure.

What is agentic coding - and who steers it?

Agentic coding means AI agents write, test and change code from instructions, while people set the direction. The agent produces the volume; the human decides what is worth building, sets the guardrails, plans the work and reviews what comes back. Teams that do this well get the speed without losing control of the architecture.

How to prevent AI coding agent mistakes

Most agent mistakes are prevented before the agent starts: versioned instruction files, a written plan or spec, and tests that act as guardrails. After it delivers, someone has to review, correct and sometimes revert. AgenticReview measures whether these habits show up in your git history - not whether your team uses agents.

How to prevent architecture drift in AI coding agents

Agents readily duplicate logic: each change looks fine on its own, but the same rule ends up defined in five places. Drift is prevented by keeping one authoritative definition per business rule, sharing components instead of copying them, and checking new agent work against that structure. The Composable dimension shows whether this holds as the codebase grows.

Code review asks whether the code is correct. An agentic review asks whether the team is in control. AgenticReview answers both from the same evidence.