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Junior Software Developer

Based on 10 assessments · 1 from real users

41% Moderate risk

Average realistic automation risk across all Junior Software Developer profiles in the dataset.

Raw potential
76%
Realistic risk
41%
Research benchmark ?
45%

Raw potential = I/O automation ceiling. Realistic risk = adjusted for informal knowledge and social context. Research benchmark: Eloundou et al. (2023)

Distribution across 10 profiles. Middle half of Junior Software Developers score between 37% and 46%.

0% 50% 100%
p10 · 29%
50% · p90
On-screen work 77%

Done entirely on a computer. High AI exposure — these tasks are already in the automation zone.

In-person + screen 0%

Physical sensing, digital output — e.g. interviewing someone then writing a report. Partially protected.

Computer + action 22%

Computer input, real-world output — needs someone to act on it, not just software.

Fully in-person 1%

No computer required. Furthest from automation — the strongest human advantage.

3 synthetic profiles for a Junior Software Developer, ordered by automation exposure. Tab between them to see how task mix drives the score difference.

Task Time Type Exposure
Writing and debugging code for assigned features or bug fixes
deep expertise social element
41% DD 26%
Asking questions of senior developers, pair programming, and learning new tools/frameworks
deep expertise social element
24% DA 3%
Reading and understanding existing codebase, documentation, and pull requests from teammates
deep expertise social element
21% DD 22%
Documenting code changes, updating task tickets, and writing commit messages
5% DD 68%
Testing own code and writing unit tests, running test suites
4% DD 60%
Attending standup meetings, sprint planning, and code review sessions
2% DA 20%
Deploying code to staging/production environments and monitoring for errors
0% DA 14%

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