Why Every Engineering Team Needs an AI-First Development Workflow in 2026
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
Read →Five years ago, microservices felt inevitable. The industry consensus was clear: monoliths were legacy, microservices were the future, and any team still running a monolith was either behind the times or too small to matter. That consensus has cracked.
We spent six months surveying 400 engineering teams — 220 that had moved from monolith to microservices, 80 that had moved back, and 100 that had stayed with monoliths deliberately. The findings are more nuanced than either camp wants to admit.
Of the 220 teams that moved to microservices, 67% reported the migration took more than twice as long as projected. 43% reported that their overall system reliability actually decreased in the first 18 months. Only 31% said they would make the same decision knowing what they know now.
The pattern is consistent: microservices deliver clear value when you have independent scaling requirements across services, genuinely distinct team ownership boundaries, and the operational maturity to run distributed systems. None of those are givens. All three require significant investment to get right.
The emerging consensus among the teams we surveyed isn’t microservices or monolith — it’s modular monolith. Clean internal boundaries, shared deployment, independent scaling where needed. The architecture that gives you 80% of the microservices benefits at 20% of the complexity cost.
The teams shipping twice as fast aren't working harder — they've rebuilt their workflows around AI assistance at every layer.…
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Read →A practical guide to implementing ZTA without rebuilding your entire infrastructure stack from scratch.
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