Code with Confidence.
Fix Bugs Automatically.

Spartan Check uses deterministic semantic detection and an AI repair engine to instantly find and fix critical bugs in your embedded C/C++ applications (BARR-C, ANSSI-C, CERT-C/C++ and more).
Zero hallucinations. Zero compromises.

Check Our Plans Schedule a Tech Demo
BARR-C:2018 CERT-C / C++ ANSSI-C

Test Run

hW8EnBmojMUJXfcvWw3s
DONE
3 Findings Total

Target: c11 / arm32-wchar_t4 • Environment: Bare-Metal (bm)

Active File:src/motor_controller.c(1)L39:24
Finding 1 of 3
CRITICAL

Signed Literal Bit Shift Overflow

src/motor_controller.c : Line 39

Standards:
... ... --- a/src/motor_controller.c
... ... +++ b/src/motor_controller.c
... ... @@ -37,5 +37,5 @@
37 37 void calibrate_esc_timing(uint32_t pulse_raw) {
38 38 /* Narrowing and sign-bit hazard */
39 - - uint16_t offset = 1 << 15;
+ 39 + uint16_t offset = 1U << 15;
40 40 target_pwm += (pulse_raw >> 4) + offset;
41 41 }

Technical Explanation

Shifting a signed integer literal (1 << 15) attempts to set the sign bit. On 16/32-bit targets, this invokes undefined behavior and can be miscompiled during loop optimization.

Remediation Strategy

Add the 'U' suffix to the integer literal 1 (e.g., 1U << 15) to explicitly specify an unsigned literal. This ensures the shift operation is performed using unsigned arithmetic, preventing undefined behavior related to the sign bit.

The Spartan Check Architecture

We solved the hallucination boundary in AI coding tools. By coupling a deterministic verification core with an advanced dual-agent reasoning layer, we guarantee mathematical compliance against the theoretical limits of generative AI.

Deterministic Core, Zero Hallucinations Mathematical Rigor

Generic AI tools hallucinate because they try to guess how entire systems work. Spartan Check eliminates hallucinations by pairing a mathematical rule engine with specialized AI agents focused solely on validated defects.

Stage 01

Deterministic Detection

BARR-C CERT ANSSI

Analyzes code against formal embedded standards with mathematical certainty. Finds real bugs and compliance flaws with zero guessing and zero hallucinations.

Stage 02

Full-Context Extraction

Deep Context Scope Aware

Captures the complete function and execution flow surrounding each defect, giving our reasoning engine full context instead of blindly truncated snippets.

Stage 03

The Judge (Validation)

Zero Noise Sub-Second Triage

Validates complex edge cases and concurrency in milliseconds, filtering out noise so your team only spends time on genuine issues.

Stage 04

The Fixer (Tailored Remediation)

Project-Aligned Unified Diffs

Generates clean, ready-to-merge diffs that naturally fit your project's standards and codebase, with zero model retraining.