AI
AI-Assisted Engineering: what it actually means inside a trading system
We've shipped AI-augmented code on three live capital markets platforms. Here's what worked, what didn't, and what the benchmarks actually show.
Insights
Engineering perspectives from the field.
Practical analysis on software architecture, AI adoption, cloud strategy, and information security — written by engineers working with Tier 1 enterprises every day.
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Engineering
The hidden cost of technical debt in capital markets platforms
Legacy .NET 4.x monoliths in trading environments carry a carrying cost most CTOs undercount. We break down where it actually hides.
Security
Securing a HIPAA-adjacent data pipeline: a practical framework
A structured walkthrough of the controls, audit trails, and encryption boundaries that keep high-sensitivity pipelines audit-ready.
Strategy
How to evaluate a modernization vendor before you're locked in
Six questions your architecture team should ask — and red flags to watch for — before signing a multi-year modernization engagement.
Industry
What Tier 1 banks look for in an engineering partner
After decades of delivery inside bulge-bracket institutions, we've mapped the decision criteria procurement teams won't put in an RFP.
AI
LLM governance in regulated environments: what the frameworks miss
The EU AI Act, NIST AI RMF, and internal compliance teams all see different risks. A practitioner's guide to reconciling them without killing velocity.
Engineering
Great architecture compounds: why ownership matters more than elegance
The systems that age well aren't the cleverest ones. They're the ones someone understood completely and felt responsible for maintaining.
Security · Industry
Pen testing for state agencies: scope, findings, and the politics of disclosure
15+ US state contracts taught us that public-sector security assessments are a different discipline from enterprise ones. Here's what changes.
Strategy
Staff augmentation vs. embedded teams: which model actually delivers
Both models can work. Both can fail. The difference almost always comes down to knowledge transfer expectations — not contractor quality.
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