[SYS: OPERATIONAL]

SINTROPYC

agent security first
sintropyc-cli — boot
Native integrations
GitHub GitLab AWS ECS
24/7
Agent
availability
0%
Data used for
model training
100%
Actions fully
auditable
SWS
Proprietary isolated
infrastructure
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Chapter I · The Bottlenecks

AI creates code fast.
Tests and security break faster.

When developers use standard AI coding assistants, they generate code rapidly. But without proper validation, this leads to flaky tests, broken pipelines, and severe security vulnerabilities entering production.

ISSUE_01

Test Suite Regressions

AI frequently suggests code that looks correct but breaks existing unit and integration tests, forcing engineers to spend hours fixing regressions.

Sintropyc Solution

SWS runs tests automatically in an isolated sandbox. If an AI change breaks a test, the agent rewrites it until the build passes 100%.

ISSUE_02

Vulnerability Injection

Standard assistants copy outdated patterns, injecting SQL injections, XSS, and insecure dependencies directly into your main branch.

Sintropyc Solution

Every line of code is scanned via a strict DAST/SAST pipeline before it even becomes a pull request.

ISSUE_03

The CI/CD Bottleneck

Finding out that AI-generated code failed the security check during the CI/CD pipeline slows down the entire release cycle.

Sintropyc Solution

We shift validation left. Sintropyc acts as its own CI environment, validating code locally before it ever reaches your repo.

ISSUE_04

Unaudited Execution

Giving an agent access to your terminal is dangerous. One wrong hallucinated command can wipe a database or expose secrets.

Sintropyc Solution

Zero-trust architecture. Commands are strictly executed in an ephemeral, air-gapped SWS container, fully logged and auditable.

Chapter II · Execution Model

The strict CI/CD pipeline
for AI agents.

We've built a secure pipeline where raw, potentially vulnerable code is continuously tested, scanned, and patched inside our isolated system before you even see it.

auth.ts auth.ts pkg.json pkg.json schema.sql schema.sql payment.py payment.py api.go api.go jwt.rb jwt.rb SWS SCANNER

Multi-model Routing

Pick the model that matches the task — reasoning, speed, cost, privacy. Sintropyc routes your work across frontier LLMs seamlessly.

Real-time DAST/SAST

Every change is audited instantly. Vulnerabilities are flagged the moment they appear, with automated, reviewable fixes.

Isolated SWS Sandboxes

Code executes inside our proprietary environments. Run entire test suites deeply without ever touching your real production systems.

Context-persistence

Continuous backup of your entire development state — decisions, code, findings, conversations. Jump back to any moment instantly.

Autonomous fixes

When a vulnerability or failing test is detected, Sintropyc rewrites the code to fix it. See the diff, explanation, and test run side-by-side.

Your data stays yours

Code, secrets, and conversations remain strictly private. We never train models on your data. Every action is logged and reversible.

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Chapter III · Live Agent Demo

See the agent in action.

Watch how Sintropyc thinks, tests, analyzes, and proposes secure remediation in real-time within the SWS Sandbox.

sintropyc-agent — bash
user@sintropyc:~/workspace$
Chapter V · Who we are

Automation should be
accountable.

Sintropyc is a small, focused team building the autonomous engineer we always wanted to work with — one that plans carefully, explains itself clearly, runs tests, and never does anything in the dark.

Origin

Founded by engineers tired of fragile AI tooling that breaks CI/CD pipelines and cannot be trusted with real production systems.

Focus

Autonomous software engineering with strict cybersecurity and test-driven discipline baked into every workflow.

Stage

Early stage. Selective onboarding. Working closely with every team during our early access phase.