Research for engineering leaders who buy the stack, not the story.
StackAuthority publishes field-tested analysis on frontend, backend, AI data engineering and devops - for CTOs and VPs making seven-figure platform bets.
The Stackauthority Index
AI Coding Assistants: An Evaluation Guide for Engineering Teams
A decision guide for engineering leaders choosing among AI coding assistants across IDE plugins, IDE forks, and CLI agents, with cost, security, and productivity evaluation.
- Vendors evaluated
- 60
- Dimensions
- 9
- Methodology
- Double-blind
- Data window
- 18 months
Four lanes.
One operator's POV.
We don't cover everything. We cover the four layers where CTOs burn budget and quarters, and we do it with analysts who've shipped, not just surveyed.
Frontend
Frameworks, build systems, rendering models, and design systems at scale.
Backend
Runtimes, databases, API layers, and service architecture for scale.
AI data eng
Retrieval, orchestration, evaluation, and the platform under the model.
Devops
Platform engineering, observability, CI/CD, and runtime security.
Recent analysis
Four analysts.
Operators, not career analysts.
Every brief is written by someone who has run the system in production. That is the whole thesis. We do not hire career analysts.
“We were three weeks from signing a $1.4M observability renewal. StackAuthority's analysis killed the deal in one meeting and saved us eleven months of architectural debt.”
One note, every Thursday.
Written for people who read diff logs.
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