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.
AI frequently suggests code that looks correct but breaks existing unit and integration tests, forcing engineers to spend hours fixing regressions.
SWS runs tests automatically in an isolated sandbox. If an AI change breaks a test, the agent rewrites it until the build passes 100%.
Standard assistants copy outdated patterns, injecting SQL injections, XSS, and insecure dependencies directly into your main branch.
Every line of code is scanned via a strict DAST/SAST pipeline before it even becomes a pull request.
Finding out that AI-generated code failed the security check during the CI/CD pipeline slows down the entire release cycle.
We shift validation left. Sintropyc acts as its own CI environment, validating code locally before it ever reaches your repo.
Giving an agent access to your terminal is dangerous. One wrong hallucinated command can wipe a database or expose secrets.
Zero-trust architecture. Commands are strictly executed in an ephemeral, air-gapped SWS container, fully logged and auditable.
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.
Pick the model that matches the task — reasoning, speed, cost, privacy. Sintropyc routes your work across frontier LLMs seamlessly.
Every change is audited instantly. Vulnerabilities are flagged the moment they appear, with automated, reviewable fixes.
Code executes inside our proprietary environments. Run entire test suites deeply without ever touching your real production systems.
Continuous backup of your entire development state — decisions, code, findings, conversations. Jump back to any moment instantly.
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.
Code, secrets, and conversations remain strictly private. We never train models on your data. Every action is logged and reversible.
Watch how Sintropyc thinks, tests, analyzes, and proposes secure remediation in real-time within the SWS Sandbox.
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.