_>APPTENSION SDLC · AGENTIC SDLC
Your team bought AI engines. We install the factory.
Same team, more verified production output. Defensible throughput and ROI without more defects, risk, or senior queue time. Live proofs: nini.bot (greenfield) and Teamdeck (legacy modernization).
2 weeks
IMPLEMENTATION
6 months
MANAGED ADOPTION
100%
CLIENT-OWNED HARNESS
>>AI coding has outgrown the tool stage
_> Individual speed is visible. Team delivery, review capacity, and ROI proof are not. Research across 2025–2026 points to the same gap.
85%
Review is the new bottleneck
Developers report AI shifted constraints from writing code to reviewing and validating it. More output without review capacity creates queue debt.
43pt
Individual gains do not reach EBIT
Most teams see personal productivity lift. Far fewer can tie AI spend to enterprise outcomes without an operating system around the tools.
1.7×
Verification tax on AI PRs
Generated diffs often look correct but need more human scrutiny. Smaller PRs, repo context, and machine pre-checks reduce the tax.
92%
Governance lags adoption
Teams adopt agents faster than policy, CI gates, and traceability. Production-ready means intent, evidence, approval, and release linked.
_> Delivery arc
>> From informal AI usage to a governed harness
Baseline first. Two weeks install the factory. Six months prove economics and stop drift.
Baseline the system
Map ticket to production. Capture flow, review load, quality, and AI spend before any uplift claim.
Install in two weeks
Shared context, skills, verification, PR evidence, and autonomy boundaries on a real repository.
Adopt and measure
Six-month loop: coach, harden, expand proven workflows, report cost per verified outcome.
>>What a governed harness delivers
_> Not more tokens. More verified production output from the same team, with humans retaining architecture, security, and release rights.
01
Throughput you can defend
Baseline flow and quality first. Track quality-adjusted capacity, review wait, and cost per verified delivery unit beside any throughput claim.
02
Senior leverage back
Encode repeatable senior knowledge into context, verification, and gates so bounded work needs less queue time from your strongest engineers.
03
Harness you own
Shared skills, rules, telemetry, and economics live in your repository. Models change. The delivery system stays yours.
>>Assess → Install → Embed → Measure → Improve → Scale
_> Does the same engineering team deliver more accepted production value per dollar, without increasing defects, risk, or senior supervision?
→ Swipe through the process
START HERE
You already have developers using AI. What evidence do you have the system got faster?
Run the maturity diagnostic, then read how each scorecard metric is measured before and after. Depth tools stay open. Sponsor scorecard stays gated until alignment.
BUILT WITH APPTENSION SDLC
>>nini.bot: 159 merged PRs in 11 days
_> Production infant-care PWA shipped on the same governed harness we install for client teams.
0
Merged PRs in 11 days
0
Closed issues shipped
0+
Cited knowledge articles
GITHUB PROOF · JUL 31 – AUG 11, 2026
Installable PWA shell with care logging and bottom navigation
QUICK LOG
One-tap timers with recent stats
KNOWLEDGE
Cited, swipeable guidance cards
VISUAL LANGUAGE
In-app illustration system for every screen and guidance card
Delivery outcomes
Peak merge velocity with gates
41 PRs merged on day one, 50 on Aug 1, 2026. Agent branches merged through Vitest, review, and repository rules, not prompt-only output.
Production scope, not a prototype
Rhythm orbit wheel, offline outbox sync, OTP auth, Neon Postgres, PWA install shell, and CMS-seeded knowledge library in one continuous delivery run.
Live product, replicable harness
Installable at nini.bot today. The SDLC loop, context packs, and verification gates behind it are what we deploy for client engineering teams.
SECOND PROOF · PLATFORM MODERNIZATION
>>Teamdeck: 60 PRs of governed legacy change
_> Stage on Temporal, Pulumi, and ECS. Product work never froze. Production cutover still ahead. The story is the gates.
0
PRs in ~5.5 weeks of GitHub history
0h
Median PR open → merge
~0k
Lines of plans, specs, ADRs, runbooks
Machine-readable estate
Bindings table, docs map, and path-scoped rules so agents and humans share one source of truth for branch, CI, and verification.
CI that enforces the process
Twelve workflows and thirteen tested gate scripts. Release-line merges, promotion ancestry, drift detection, and first-pass review on every PR.
Honest mid-program status
Stage is live end to end. Prod cutover is planned, not done. Cost parity waits for measured post-cutover numbers.
>>Explore the operating system
_> Public instruments for process, measurement, and ROI. Depth tools for sponsors: playbook, maturity, and scorecard.
NEXT STEP
Start with a sponsor alignment session
Align on goals, constraints, risk appetite, and the pilot repository. Implementation is the controlled entry point.