Three groups drawn from the same sources. Choose a group to select whose experience counts. Within that group, each author counts once in the practitioner sentiment, with their latest view. Signals open on All practitioners. Leaders and teams have 8 accounts; GILD prints their sentiment from 20.
Engineering leaders and teams
19 sources. These accounts stress shared conventions, review load, spend as adoption spreads, and what changes when Augment moves from individual use into a team or company standard.
Individual builders
48 sources. These accounts stress raw capability, speed, plan limits, and how Augment performs in self-directed development.
All practitioners
67 sources. This count includes every account. It mixes solo and team settings, which can reach different conclusions.
67 sources from practitioners, by the context they work in. Filled rows count for this group.
- Individual practitionerSolo developers and independent builders48 sources, counted here
Emphasizes Context quality and plan cost
- Very small team2 to 10 engineers4 sources, counted here
Emphasizes Which agent the team standardizes on
- Professional team11 to 50 engineers, or a named company's team11 sources, counted here
Emphasizes Written rules, review effort, and CI review bots
- Technical leadershipLeaders setting adoption across teams4 sources, counted here
Emphasizes How to evaluate and consolidate tools
- Organization-wideEnterprise or company-wide rolloutNo sources from this setting yet
What changes with scale. Individual builders judge Augment on how well its Context Engine finds code and on what each plan costs them. Team accounts shift toward written rules and supervised review of agent output, and some run Auggie inside CI.