Dev Tools
AI Developer Tools
Coding agents, editors and review systems that write, refactor and reason about production codebases.
- Tools 01
10
in this category
- Average score 02
84/100
- Free tier 03
9of 10
- Self-hostable 04
4of 10
- Comparisons 05
2
[ 01 ] Our read on this market
The centre of gravity moved from autocomplete to delegation. The interesting comparison is no longer suggestion quality but how much context a tool can hold, how safely it can run commands, and how legible its changes are in review. Teams increasingly run several in parallel and let engineers choose, which makes seat-based pricing awkward for everyone.
What to weigh
- 01
Context handling
Repository-scale understanding beats file-scale suggestion. Test on your largest, ugliest module rather than a greenfield example.
- 02
Permission model
Agents that execute commands need a sandbox story, an approval flow and an audit log. Treat this as a security review, not a productivity trial.
- 03
Review legibility
Large machine-authored diffs are the new bottleneck. Favour tools that produce small, well-scoped, explainable changes.
- 04
Code and data policy
Confirm training-data usage, retention and whether your source ever leaves your tenancy.
[ 02 ] Dev Tools tools
Ranked by composite score within this category.
[ 03 ] Comparisons in this category