The AI operations layer for engineering

Not a copilot. An autonomous engineering execution system.

You own the gates. The agents run the execution.

EngineerX runs your engineering execution — the reviews, ECOs, requirements, documentation, approvals, releases, and handoffs — as one system. A farm of specialist AI agents does the work across every stage and holds quality at the gates you set, handing every judgment call to a human. Your engineers get back the ~70% of their capacity that friction steals from building.

15 specialist agents Every stage of the DLC Human in the loop Your code never leaves
change · liveoperating
  • eventRequirement changes
  • reasonReasoning core
  • assessImpact: 3 modules · 2 drawings · BOM
  • actChange package (ECO) drafted
  • reviewReviewer assigned — ready to approve▸ you
it decides & acts — you hold the judgment calls
70%reclaimed
friction → the farm
Human in the loop
You decide
call it · kill it · ship it — the farm does the rest
Trusted by operators at scale
Fortune Global 500 telecomIndustrial manufacturerTop-5 single-family operatorNational oil & gasMajor banking institution
Where the hours go — ~70% to friction, ~30% to building
~15%
Finding — rediscovering what the org already knows
~22%
Checking — reviewing, testing, chasing coverage
~12%
Creating — the PRDs, specs & docs nobody writes
~13%
Connecting — handoffs, impact & status across teams
~8%
Forecasting — risk you feel but can't see early
Friction estimates synthesized from the Stripe Developer Coefficient, GitHub Developer Survey, McKinsey Developer Velocity, and JetBrains Ecosystem studies — your stack and process determine actuals. The remaining ~30% is the building you actually hired for.
Every stage of the DLC

One EngineerX. Wired to your whole lifecycle.

The operations layer over your engineering stack — wired into your repos, CI/CD, tickets, docs, and sim. 1,300+ pre-built integrations, configured with no code.

Engineersdev · QA · DevOps · PM · support
EngineerXthe reasoning core — human in the loop
GitHub · GitLabrepos & PRs
CI / CDbuilds, tests, deploys
Jira · Lineartickets & epics
Confluence · wikispecs & ADRs
Slack · Teamsthe conversation
Observabilitylogs, alerts, runbooks
Sim · emulation · HWpre-silicon & target
Package & artifact regreleases & deps
+ and more
A specific architecture.

Reasoning, not scripting

Goal-directed

Give it “get this PR merge-ready” — an outcome, not a script. It plans the path.

Reasons, plans, and acts

Reads the diff, drafts the test, suggests the fix, recovers from the failure. Work, not words.

Wired into your lifecycle

Reads the live source

Every answer comes from your repos, CI, tickets & history — grounded and cited, never guessed.

Knowledge-driven, not rule-driven

Grounded in your own patterns, ADRs & standards. Not a generic linter ruleset.

Coordinated, not freelancing

A farm, one core

Bounded specialists — review, test, docs, risk — under one reasoning core. Not one chat box.

It proposes. You decide

It drafts the fix, the test, the note and files it for review. Nothing merges until a human says yes.

The operating model

You own the gates. The agents run the execution.

Set the policy and the gates; a reasoning core reads your repos, CI, tickets and history, routes each task to the specialist that owns it, and drafts the work — the fix, the test, the note, the risk read — ready for a human to approve. Agents spin up on demand, do one job, and get out of the way. It runs inside your perimeter; your code never leaves.

Your systems
GitHub · GitLabrepos & PRs
CI / CD pipelinesbuilds, tests, deploys
Jira · Lineartickets & epics
Confluence · wikispecs, ADRs & docs
Sim · emulation · HWpre-silicon & target
EngineerX
Reasoning coreroutes every taskSpecialist agentsone per kind of frictionGateswired to your DLC, policy you setHuman in the loopcall it, kill it, ship it
Operators & roles
Engineer IDEin the editor
QA consoleplans & coverage
DevOps / SREgates & runbooks
Ask anythingin plain English
The specialists

One reasoning core. Fifteen specialists that run the execution.

From the requirement to the release, the core fans the work out to bounded specialists — across the five kinds of friction that stall execution. Together they run it: finding what already exists, checking on the way in, creating the artifacts, connecting the handoffs, and forecasting the risk. Each one you call, use, and kill.

Reviewers · human in the loop
Surfaces in
Editor / IDE
PR & review
Ask anything
CI checks
Dashboards
EngineerX · Reasoning Coreroutes every task to the right specialist
Your patternsPolicy & gatesMemory
specialist agents — call them, use them, kill them: each does one job, then gets out of the way
Knowledge Agent
Traceability Agent
Defect Twin
Test Generation Agent
Test Plan Agent
Code Review Agent
Quality Gate Agent
Doc Generator
Release & Resolution Notes
ADR Agent
Change Impact Agent
Runbook Agent
Status & Action Agent
Risk Scorer
Resource Estimator
Systems out
GitHub / GitLab
CI / CD
Jira / Linear
Docs / wiki
+ and more
See all 15 specialist agents
Findinglocating what already exists
Knowledge Agentask the code, the project, or the history in plain language — grounded, cited answers
Traceability Agentany line → the full chain: ask → req → code → test, always current
Defect Twinthe most similar past defect, its fix, and who wrote it — in seconds
Checkinghelped on the way in, assured at the gate
Test Generation Agentstimulus, synthetic & fault data, and the sim harness — before you write a test
Test Plan Agenton commit, a ranked scoped plan; the Dev→QA handoff keeps its context
Code Review Agentsemantic + architectural-intent review; it suggests the fix, not just the flag
Quality Gate Agentgates docs & bugs both ways: runbook/post-mortem completeness, a real RCA
Creatingproducing the artifacts the code implies
Doc GeneratorPRDs, specs & customer PDFs from the code & its history; accurate as it moves
Release & Resolution Notesrelease notes, the customer email, the fix's notes + ticket — from the PRs
ADR Agentarchitectural decisions from chat, transcripts & PRs into durable records
Connectingbridging across roles & teams
Change Impact AgentAPI/branch change → downstream notice + impact map; collisions flagged before merge
Runbook Agentnew failure mode → checks the alert & runbook exist; drafts them if not
Status & Action Agentstandups & digests from the work; inbox/Slack → tracked actions
Forecastingseeing outcomes early
Risk Scorerintegration, deployment & escape risk vs your own history; proposes the canary
Resource Estimatorpower/timing/memory cost of a change at PR time; constraint violations caught early
Wired to your gates

Discrete agents. At every gate you set.

Design gates, reviews, approvals, release — the checkpoints your execution already runs on. Today quality rides on who remembers; the farm makes it the system’s job, firing the right checks at the right gate, every time, and handing a human every escalate. Run a change through the gates:

Your DLC · under the policy you setpre-commit → commit → PR → merge → release · verdicts: pass · fix · escalate
  1. 1Pre-commit
    Code ReviewTest Generation
  2. 2Commit
    Test PlanTraceability
  3. 3PR
    Code ReviewChange ImpactQuality Gate
  4. 4Merge
    Risk ScorerConflict
  5. 5Release
    Release NotesRunbookResource Estimator
next: Pre-commit · Code Review · Test Generation
The same agents run automatically at each stage, under your policy — the right checks at the right moment, every time. Illustrative example.
No code · your policy · your gates

You wire the farm to your lifecycle.

Choose which agents fire at each gate — pre-commit, commit, PR, merge, release — and what a verdict does: pass, fix, or escalate. Add a specialist, change a policy, stand up a new check — all in the console, no code and no waiting on a release. Discipline stops being voluntary and becomes the system’s job.

Every agent does the work

Not a copilot that comments. A specialist that does the work.

A copilot suggests a line and waits. An EngineerX specialist drafts the fix, writes the test, cites the source, traces the lineage, and scores the risk — grounded in your repos, filed for your review. Work, not words.

Drafts the fix

Not just a flag — the agent proposes the change, applies it on your say-so, and explains why.

Writes the test

The directed and corner-case stimulus, the fault data, the coverage target — drafted from intent, before you type.

Cites the source

Every answer points to the exact lines, the ADR, the ticket — grounded in your repos, never guessed.

Traces the lineage

Any line back to the ask, the decision, and the tests that cover it — a live, always-current chain.

Scores the risk

Against your own escape history — “this resembles the 2024 defect that cost two cycles” — at the desk, not the field.

Across your execution

Every part of execution — run for you.

From the first question to the release note, the farm works the five kinds of friction that stall execution — finding, checking, creating, connecting, and forecasting — coordinated by one reasoning core.

Finding

Ask the code anything

How does this module work? Why is this here? Who fixed this before? Answered in seconds, grounded and cited — instead of interrupting a senior or re-deriving it from scratch.
Repo Q&AProject knowledgeGuided ramp-upask → req → code → testDefect twins+ more
Checking

Quality, built in — not bolted on

Stimulus, synthetic data and the sim harness drafted before code is written; then every change gets semantic review, architectural-intent and coverage — so defects are designed out early, not caught after tape-out.
Test generationCoverage from intentSemantic reviewArchitectural intentReal-RCA gates+ more
Creating

The docs write themselves

Every PRD, spec, release note, decision record and customer PDF the code already implies, drafted from the source — the documentation engineers dread and skip, kept accurate as the code moves.
PRDs & specsRelease notes & emailADRsCustomer PDFsResolution notes+ more
Connecting

Handoffs that stop leaking

A proto change notifies downstream owners with an impact map; colliding PRs get flagged before merge; standups and digests compose themselves. Context stops dying between Dev and QA, code and ops, team and team.
Impact mapsConflict predictionRunbook coverageAuto standupsAction tracking+ more
Forecasting

See the cycle before it costs you

Agents score integration, deployment and escape risk against your own history — “this resembles the 2024 defect that cost two cycles” — and estimate power/timing/memory impact at PR time. Surprises surface at the desk, not the field.
Escape-risk scoringDeployment risk & canaryRecurrence miningResource estimationPR-time constraints+ more
The governing philosophy

It drafts. You decide. Discipline becomes the system’s job.

A farm that touches your codebase can’t be a black box — and the engineer stays in control of every call that matters.

1

Grounded, always cited

Every answer comes from your repos, CI, tickets and history — with the exact lines, the ADR, the ticket. It won’t invent an API or a fact.

2

Human in the loop by design

It drafts the fix, the test, the note — then files it for review. Developers call what they want, kill what’s wrong; nothing merges on an escalate until a person says yes.

3

In your perimeter, fully logged

It runs inside your private cloud; your code never leaves. Every verdict and action lands on an append-only trail.

Linter / CI dashboard
EngineerX
Flags the problem
Drafts the fix
Same rules for everyone
Your patterns, your policy
Runs when you remember
Fires at every gate, every time
One check at a time
A farm across the whole DLC
Passes or fails
Pass · fix · escalate — to a human
S

Same engine as StudioX Core. EngineerX runs on the same AI Missions, Enterprise Knowledge layer, and 1,300+ integrations as every StudioX deployment — the same pattern that runs the resident lifecycle (ResidentX), network operations (NetworkX), the manufacturing line (FactoryX), and the financial close (FinanceX), packaged for engineering. Wiring your repos and pipelines is a fast implementation, not a rebuild — the intelligence is already built.

Every stage, every role — one farm, running your execution

Get your engineers back to building.

Point it at your repos and pipelines. Pick the gates and the policy — and watch the farm take the finding, checking, and writing-it-up, catch the escapes before they cost a cycle, and hand every judgment call to the person who owns it.

Grab a time that works — or text me directly: +1 408 203 5641.