Specifications age immediately
A detailed specification can become stale during the same agent run that implements it. Rewriting every artifact after every change is expensive and slow.
AI software development control plane
Keep human intent aligned with machine-built software.
AI agents can design, code and change systems faster than specifications can stay current. Xohre connects intent, agent work, implementation reality and evidence, then surfaces material drift so humans can govern what is actually being built.
- Intent that stays addressable
- Reality you can inspect
- Evidence you can trust
The new control gap
AI made implementation faster than the old control model can follow.
The bottleneck is shifting from writing code to maintaining shared understanding. Specifications age, agents make local design choices, and humans still carry accountability for the result.
Agents make local decisions
Coding agents optimize for the task in front of them. Useful implementation choices can appear in code before architecture, decisions and requirements catch up.
Humans see activity, not meaning
PRs, commits, tests and agent logs show that work happened. They rarely explain which intent changed, what became stale or where human attention is required.
A product view, not a brochure diagram
See one requirement stay connected to the decisions, AI context and proof around it.
The preview shows the operating pattern Xohre applies across software delivery: stable record identity, immutable versions, typed relationships, current verification and a bounded AI handoff.
- Current intentThe accepted requirement and lifecycle state remain explicit.
- Visible impactDecisions, interfaces, tests and release evidence stay linked.
- Bounded AI workThe agent receives exact versions, repository scope and verification expectations.
REQUIREMENTS12 current
REQ-0042 · VERSION 8
ACCEPTEDVerify subscription activation before capability becomes available
Business capability becomes available only after trusted provider evidence is reconciled with the account and workspace activation state.
OwnerProduct & Billing
CriticalityHigh
ChangedToday
CONNECTED DELIVERY CONTEXT6 current links
DEC-0017constrainsProvider-confirmed activation
API-0012implemented bySubscription activation command
VRQ-0028verified byActivation state evidence
RSK-0009mitigatesPartial commercial activation
Intent, reality, evidence, reconciliation
One control plane between human intent and autonomous execution.
Xohre keeps durable product intent connected to observed implementation reality and current proof. Reconciliation turns raw development activity into changes a human can understand and govern.
Intent memory
Keep outcomes, requirements, constraints, decisions, architecture and delivery intent as stable, addressable records.
Explore intentReality model
Connect agent work, implementation changes, tests, releases and external engineering state to the records they affect.
Semantic delta
Capture what materially changed and why instead of forcing an agent to rewrite every related document after every implementation step.
Explore agent contextContinuous reconciliation
Compare intended state with observed state and surface stale specifications, superseded decisions, broken assumptions and unresolved impacts.
Evidence graph
Attach tests, verification results and release proof to the exact claims and versions they support.
Explore evidenceHuman governance
Present material changes, unresolved risk and decision points at the level each accountable human needs, without requiring them to inspect every agent action.
From agent activity to governed change
Let agents move quickly without losing the development story.
The control loop focuses on meaningful change rather than exhaustive documentation work.
01 Establish intent
Define the outcome, constraints, accepted decisions, verification expectations and scope that should guide the work.
02 Delegate with context
Give the agent a bounded, current context assembled from governed records and repository scope.
03 Capture the delta
Return implementation changes, new design choices, affected records, evidence and unresolved questions as a semantic change set.
04 Reconcile and govern
Update the reality model, detect drift and route only material changes or policy exceptions to accountable humans.
Human supervision at the right altitude
Review what changed, what it affects and what proves it.
Xohre compresses high-volume machine activity into a governable picture of software change.
Material change
Separate architectural, behavioral, security and scope changes from routine implementation noise.
Drift and impact
Show which specifications, decisions, tests or dependencies may now be stale, contradicted or incomplete.
Current proof
Keep evidence tied to the exact target, version and release candidate so confidence can expire when reality changes.
One platform foundation
Public discovery, commercial control, governed work and platform operations stay connected.
Public surface
Explain product scope, plans and trust boundaries without granting runtime authority.
Account surface
Manage commercial state, members, billing and entitlement at the account boundary.
Workspace surface
Run governed engineering records and AI-assisted work inside isolated customer scope.
Platform owner surface
Operate configuration, models, releases and estate controls through a separate workforce trust domain.
Start at the scope you need
One platform. Three operating models.
Begin as an individual professional, coordinate governed team work, or operate across a broader enterprise estate.
Individual
Private engineering work with billing self-service and platform-managed AI eligibility.
Compare IndividualBusiness
Visible governed workspaces, member administration and eligible model selection for a team.
Compare BusinessEnterprise
Broader limits, cross-workspace oversight and configurable governance for a larger estate.
Compare EnterpriseBuilt for accountable autonomy
Fast machine execution. Explicit human authority.
Autonomy can increase while authority, scope, provenance and release control remain visible.
Bounded agent authority
Context, repository scope, tools and side effects can be constrained by policy and task purpose.
Traceable decisions
Material choices retain rationale, provenance, affected intent and supersession rather than disappearing into prompts or commits.
Controlled production
Evidence, approval and exact release identity keep production authority separate from agent implementation speed.
Govern the software your agents are building
Start with one real AI-assisted development flow.
Choose a bounded change from intent through implementation and evidence. Use Xohre to see where the development story drifts and what humans actually need to review.