Independent engineering assurance

Engineering assurance for software built at modern speed.

RigorLayer provides independent code audits, human-in-the-loop code and architecture review, and bug bounty validation for teams that need experienced technical judgment before software reaches production.

01Inspect
02Challenge
03Validate
04Assure

Senior engineering oversight. Human-in-the-loop analysis. Findings validated before delivery.

Services / 01

Independent review where correctness matters.

We focus on finding problems that automated checks, rushed reviews, and fast-moving development processes can miss.

01

Code Audits

Find correctness, reliability, architecture, and security issues before they become production problems.

Reviews can cover backend systems, distributed systems, protocol logic, concurrency, APIs, smart contracts, fault tolerance, test coverage, and operational risks.

02

Human-Led Code Review

A senior engineer reviews code produced or heavily modified with AI coding agents.

The engineer checks AI-assisted code for incorrect assumptions, subtle logic errors, architectural drift, weak tests, unnecessary complexity, duplicated logic, security issues, and code that looks plausible but does not behave correctly.

03

Bug Bounty Triage & Validation

Separate real vulnerabilities from noise.

We reproduce reports, validate exploitability, assess severity, identify duplicates and false positives, and provide a clear technical assessment for engineering and security teams.

04

Architecture & Design Review

Review important technical decisions before implementation becomes expensive to change.

We assess system boundaries, failure modes, distributed-system assumptions, data flows, protocol behavior, reliability, observability, and implementation risk.

05

Selective Software Engineering

Implementation support when review alone is not enough.

We can take on focused remediation, backend, infrastructure, protocol, and technically demanding implementation work where deep understanding of the reviewed system matters.

Approach / 02

Human-led review. AI-assisted analysis.

RigorLayer uses AI agents as engineering multipliers for repository analysis, specification review, test generation, threat exploration, issue discovery, and parallel investigation.

AI increases breadth and speed. It does not replace engineering responsibility.

Every engagement is reviewed through human technical judgment, explicit reasoning about correctness and failure modes, and production-oriented engineering discipline.

A

Go beyond surface-level findings

We look for interactions between architecture, implementation, failure modes, tests, operations, and real system behavior — not just isolated static-analysis warnings.

B

Use AI for breadth, not blind trust

Multiple analysis paths can run in parallel, but findings must survive human review and technical validation before they reach the client.

C

Produce actionable results

Findings should explain what is wrong, why it matters, how confident we are, and what should happen next.

Process / 03

A simple review process.

  1. 01

    Scope

    Share the repository, relevant documentation, architecture, and the questions or risks you care about.

  2. 02

    Review

    We analyze the codebase using senior engineering review supported by AI-assisted investigation and tooling.

  3. 03

    Validate

    Potential findings are reproduced, challenged, prioritized, and checked for real impact.

  4. 04

    Report

    You receive concise findings with severity, reasoning, evidence, and practical remediation guidance.

  5. 05

    Remediate

    If useful, we can review fixes or selectively help implement them.

Founder / 04

Senior engineering experience behind every review.

Founder & Principal Engineer

Andrei Smirnov

RigorLayer was founded by Andrei Smirnov, a Staff-level protocol and distributed-systems engineer with more than 20 years of software engineering experience.

His background includes engineering roles at Obol Network / DV Labs, Chainlink, Deutsche Bank, Microsoft, Dell/EMC, and Motorola, spanning distributed systems, Ethereum infrastructure, backend engineering, consensus algorithms, smart contracts, observability, cryptography, and technical leadership.

Recent work includes protocol architecture, Ethereum validator infrastructure, HotStuff and QBFT consensus, smart contracts, production observability, incident-response tooling, and AI-assisted engineering workflows.

Andrei remains directly involved in the technical work and final review of every engagement.

01

20+ years in software engineering

02

Staff-level protocol & distributed systems

03

Ethereum, consensus & smart contracts

04

Backend, infrastructure & reliability

Contact / 05

Have code that needs a serious second look?

Tell us what you are building, what you want reviewed, and what concerns you most. We will reply with an initial assessment and suggest an appropriate scope.