AgileSutra
AI-augmented engineering, measured

Make every engineer your best engineer.

AgileSutra reads your team's GitHub history and surveys your developers — then shows you exactly where AI tools can multiply each person's output. Walk into your next training session knowing precisely what to coach.

Built for engineering leaders preparing their team for the AI shift.

01 The framework

Five dimensions. One picture.

Engineering effectiveness isn't one number. AgileSutra organises every metric and every survey response around the five dimensions that actually move output — so you see the shape of each person's work, not just the volume.

01

Features shipped

Throughput of real value — feature PRs merged, share vs. bug and chore work, size and pace of delivery.

feature_prs_mergedfeature_pr_sharefeatures_per_week
02

Cycle time

Speed from idea to merge — time-to-first-review, review rounds, PR size, branch age. Where the time leaks.

median_time_to_mergereview_roundspr_size_loc
03

Testing discipline

How bugs get minimised — test-to-source ratio, test-first signal, bug PR share, post-merge hotfix rate.

test_file_ratioprs_with_testshotfix_count
04

Approach to implementation

How engineers think before they code — draft PRs, design notes, branch thinking time, PR description depth.

draft_pr_sharepr_description_charsdesign_doc_touches
05

Code review quality

The other half of shipping — reviews per week, comments per PR, turnaround time, rubber-stamp rate.

reviews_per_weekreview_turnaroundapprove_no_comment_share
02 The workflow

From signup to session brief in an afternoon.

No agents. No black box. AgileSutra is descriptive analytics that respects your team — you do the coaching, we surface what to talk about.

i.

Survey your team

Copy a public link. Each engineer fills a 15-minute reflection on how they work — no signup required.

ii.

Connect GitHub

Install the AgileSutra app on your GitHub organization. Pick the repos you want analysed.

iii.

Run the analysis

Choose your time window. AgileSutra computes metrics across the five dimensions for every contributor.

iv.

Walk in prepared

Each developer gets a one-page brief: their data, their words, and specific AI leverage points to discuss.

03 Developer profile (preview)
Priya Mehta @priyam
Run · 12 weeks · main + auth-rewrite
Features shipped 14 PRs
Cycle time 31h med
Testing 0.18 ratio
Approach draft 82%
Code review 9/wk

For leaders who'd rather coach than guess.

  • Engineering managers running 1:1s and quarterly check-ins who want a real picture, not a hunch.
  • CTOs and VPs of Engineering rolling out AI tooling across a small-to-mid team and needing baseline measurement.
  • Tech leads preparing team training sessions on AI-augmented workflows.
  • Founders who want to know which patterns make their best engineers their best, so they can transfer them.

Ready to see your team clearly?