workers.io | x.com/workersio | linkedin.com/company/workersio | [email protected]
Workers IO agents help teams build critical software that is verifiably correct. By applying formal/semi-formal methods, we rigorously prove code correctness — making our approach ideal for designing and delivering reliable, safe, and high-integrity systems.
These proven approaches have ensured reliability in safety-critical systems for decades and are credited by large cloud providers for their operational stability. Unlike general software testing, our use of mathematical proofs addresses the most critical behaviors with certainty.
Software failures typically result from the accumulation of minor, tolerated imperfections rather than a single dramatic error. These issues often converge at critical moments.
Minor defects are often tolerated because they seem insignificant on their own. Over time and across components, these risks accumulate and can result in major outages.
LLMs have lowered the cost of code generation, enabling rapid development. However, ensuring correctness remains expensive. Critical systems in aviation, finance, and healthcare demand software that is reliable under pressure and at scale. The main challenge is not writing code, but defining and proving the essential properties that must always hold.
Physical systems are constrained by the laws of physics, while software operates within an effectively unlimited state space. To maintain reliability, software behavior must be governed by explicit invariants, contracts, and types. Without these controls, systems can evolve beyond our ability to understand and manage them.
Software failure is a business and human-life risk, not just a technical risk.
A single faulty update can have a ripple effect across industries. In July 2024, CrowdStrike’s update caused multi-day global disruptions; one airline alone reported $380M in lost revenue over five days, and the human lives lost during that incident are non-zero.
https://en.wikipedia.org/wiki/2024_CrowdStrike-related_IT_outages
Such failures will become even more common with LLMs writing most of the code without strict guardrails that can be verified with a very high degree of accuracy. We have already begun to see signs of it with the recent data leak from a dating app, which exposed critical information.