Designing Webhook Systems That Don't Break Under Load
Webhook-driven integrations are everywhere — but most implementations ignore signature validation, retry storms, and idempotency. Here's how we build them to survive production.
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Engineering Insights
From the Studio
Deep dives, lessons from production, and thinking on backend engineering, AI automation, cloud platforms, and the craft of building software that lasts.
Posts Coming Soon
We're writing up our first articles — covering real lessons from building distributed systems, AI automation pipelines, and AWS cloud deployments. Check back shortly.
Active Learning Pipelines: How We Cut Manual Effort by 95%
A behind-the-scenes look at the AI financial spreading engine we built — NLP extraction, clustering, active learning feedback loops, and how the system improved its own accuracy over time.
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Effective Cost Management in AWS Without Sacrificing Reliability
Lambda vs EC2 vs ECS — making the right call for each workload type, and the operational patterns that keep AWS bills predictable without over-engineering your infrastructure.
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API Security Patterns Every Backend Engineer Should Know
From JWT validation to rate limiting, replay attack prevention, and least-privilege access design — the security patterns we apply from day one on every project we build.
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