// keeping up with ai tools
Who’s keeping up with AI tools for your team?
A new model or coding agent arrives every month. Sage lets you test it on your own workflows and swap it in once, centrally — with our R&D team doing the evaluating.
// sound familiar?
Three signs tool churn is costing you.
- 01Every month, a “better” tool.And no way to know if it’s better for your code.
- 02Switching is a project.Relicensing, retraining and rebuilding everyone’s setup.
- 03Nobody has time to evaluate.So you either chase every trend, or fall behind by default.
Why it happens: when a team standardises on one tool, its process gets tied to that vendor. Every market shift becomes a re-platforming exercise.
// how sage fixes it
Swap tools in one place. Prove it first.
- swappable enginesEach step picks its engineChange one centrally and every team gets it on the next run — nothing to reinstall.
- side-by-side evalsEvidence before switchingRun the same workflow on the current and candidate tool; compare quality and cost.
- sage radar + residentYour AI R&D team, includedWe track and test new tools so you don’t have to — and bring in what’s worth it.
End-to-End Foundation
// one workflow, four engines
BRD ingestionClaude Code
Service decompositionAutoGen
Integration scaffoldingCodex
Repo writebackBedrock
Next stepnext best tool
// latest from sage radar
PINNED · ASSESS · Oct 2026Fast decision models: can they cut agent costs on review triage?
TRIAL · Sep 2026Open-source coding agents: ready to replace commercial ones?
// from the Sage Runner demo · demo data