We’ve spent the last years optimizing for velocity, automation, AI-assisted output. The result? More code. Faster cycles. Shorter feedback loops.
But very few teams are asking a harder question:
Is the system getting stronger — or just more fragile at scale?
That’s why I’m excited about what we’re building with Endure, a research-driven attempt to analyze structural resilience in modern, AI-accelerated systems:
• Antifragility instead of surface metrics
• Context treated as a dependency
• Hidden coupling detection
• Structural risk beyond code smells
If you’re shipping with AI in the loop, this matters. AI compounds decisions across sprints. Small structural weaknesses don’t stay small.
This is a limited research preview, and we’re being selective.
If you care about long-term system integrity — not just short-term throughput — take a look at the original announcement and see if this resonates.
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[ 1.9 ms ] story [ 7.9 ms ] threadWe’ve spent the last years optimizing for velocity, automation, AI-assisted output. The result? More code. Faster cycles. Shorter feedback loops.
But very few teams are asking a harder question: Is the system getting stronger — or just more fragile at scale?
That’s why I’m excited about what we’re building with Endure, a research-driven attempt to analyze structural resilience in modern, AI-accelerated systems: • Antifragility instead of surface metrics • Context treated as a dependency • Hidden coupling detection • Structural risk beyond code smells
If you’re shipping with AI in the loop, this matters. AI compounds decisions across sprints. Small structural weaknesses don’t stay small.
This is a limited research preview, and we’re being selective.
If you care about long-term system integrity — not just short-term throughput — take a look at the original announcement and see if this resonates.