We cheer the arrival of electric vehicles as a systems shift – not just a drivetrain swap. But enthusiasm for EVs often blinds us to a harder truth: when a product becomes more software than hardware, the failure modes change, and so does the cost of getting it wrong.
The signal: a recent review of a high-profile 2026 muscle EV called out recurring electronic faults, intermittent infotainment/sound failures, and a “SERVICE ELECTRICAL SYSTEM” fault that immobilized the car during a short test period. The reviewer concluded that until the OEM issues a widespread fix (or recall), the vehicle is hard to recommend.
Why this matters beyond one model
This isn’t merely a story about a single car. It’s a case study in what happens when automotive manufacturers race to deliver differentiated software-driven experiences (performance modes, simulated exhaust, advanced infotainment) without the engineering and operational rigor that modern software products require. The architecture of a car today is a distributed, safety-critical system-of-systems: battery management, motor controllers, telematics, infotainment, mobile apps, cloud services – all interacting in real time. Failures in one corner can cascade into safety and trust failures everywhere.
Key lessons for technology leaders
1. Speed vs stability is a false dichotomy unless you invest in platform engineering
– Moving fast with features is fine – if you have the platform to test, roll back, and observe them safely. Feature flags, canary releases, and staged OTA rollouts are not optional; they are table stakes.
2. Observability and telemetry must be designed for safety, not marketing
– OEMs should instrument systems to detect early, reproducible signals (e.g., environmental triggers like temperature, state-of-charge, or software version combinations). Telemetry must feed automated health checks and emergency degraded modes that keep the vehicle safe and mobile when non-critical systems fail.
3. Degraded-mode design protects customers and brand
– A car should fail gracefully. If infotainment glitches, the HVAC, lighting, and essential driving functions must remain unimpaired. Build clear “safety envelopes” that never rely on non-deterministic components.
4. Test where customers live – and drive
– Lab tests are necessary but insufficient. Field testing across geographies, climates, and charging conditions reveals interaction effects labs miss. Progressive, geographically distributed pilots help catch regional issues before a broad launch.
5. Serviceability and the logistics layer matter as much as software
– The ability to remotely patch, but also to dispatch technicians and replace modules quickly, determines real-world uptime. OEMs need tight dealer/partner integrations and remote diagnostic workflows that minimize customer inconvenience.
Actionable checklist for CTOs and product leaders
– Adopt SRE principles for product reliability: SLOs, error budgets, incident runbooks.
– Implement staged OTA pipelines with automated rollback on health anomalies.
– Prioritize telemetry that maps to user outcomes (rideability, charging, safe-state transitions).
– Mandate environmental and usage-condition tests (temperature, low SOC scenarios).
– Create fast remediation paths: remote fix → dealer firmware update → hardware swap.
– Re-evaluate UX priorities: features that delight but jeopardize reliability should be gated behind proven stability.
A brief Bharat note (why this is relevant to India)
India’s EV adoption curve is accelerating, but service networks and charging infrastructure remain uneven – especially in the Northeast and rural regions. That unevenness amplifies the impact of software/vehicle faults. For Indian OEMs and fleet operators, remote-first diagnostics, OTA resilience, and clear degraded-mode behavior are not just convenience features – they are operational necessities that preserve trust across long distances and scarce service points.
Closing thought
Electrification is a platform opportunity: cars will become major distributed computing endpoints. The upside – faster innovation, new services – is huge. The downside – a single software fault can break both mobility and trust. For product leaders, the imperative is clear: build like a platform, operate like a critical service, and measure success in long-term reliability as much as launch-day reviews.
About the Author Sanjeev Sarma is the Founder Director of Webx Technologies Private Limited, a leading Technology Consulting firm with over two decades of experience. A seasoned technology strategist and Chief Software Architect, he specializes in Enterprise Software Architecture, Cloud-Native Applications, AI-Driven Platforms, and Mobile-First Solutions. Recognized as a “Technology Hero” by Microsoft for his pioneering work in e-Governance, Sanjeev actively advises state and central technology committees, including the Advisory Board for Software Technology Parks of India (STPI) across multiple Northeast Indian states. He is also the Managing Editor for Mahabahu.com, an international journal. Passionate about fostering innovation, he actively mentors aspiring entrepreneurs and leads transformative digital solutions for enterprises and government sectors from his base in Northeast India.
