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RDEL #111: How do developers collaborate with AI agents when solving real-world software engineering problems?
Developers using incremental collaboration strategies succeeded on 83% of issues, while one-shot approaches only achieved 38% success rates.
Sep 23
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RDEL #110: How often do LLMs warn developers about security vulnerabilities in their code?
Even the best-performing LLM only warns about security issues 40% of the time, creating false confidence in code safety.
Sep 16
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RDEL #109: How do AI-assisted code fixes impact code review time?
Meta’s study found reviewers slowed down by 6.7% when verifying AI fixes, while authors gained speed without extra burden
Sep 9
2
RDEL #108: What distinguishes developers who successfully adopt AI coding tools from those who don't?
Developers who view AI as "collaborators" adopt tools successfully, while "feature" users are more likely to abandon them.
Sep 1
4
RDEL #107: What patterns (and biases) emerge when AI systems evaluate software engineering candidates?
Research shows popular AI tools skip over top candidates in favor of stereotypical profiles
Aug 26
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RDEL #106: What happens when organizations display individual metrics vs team metrics?
Teams shown collective metrics solved more tasks and maintained stronger cohesion under pressure
Aug 19
4
RDEL #105: Top findings from the 2025 Stack Overflow Developer Survey
84% of developers use AI, but 46% report distrust. Autonomy and satisfaction remain the biggest drivers of productivity.
Aug 12
1
RDEL #104: How does the SPACE framework apply to AI's impact on engineering?
Developers report higher speed, efficiency, and satisfaction with AI—yet less than half see improvements in collaboration.
Aug 5
5
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