TeamTechLab

客戶案例

真實轉型,可衡量的成果

來自亞太地區的四個軟體開發轉型案例。客戶資訊已作匿名處理——數據真實可信。

SaaS Product Company · Malaysia

Broke a 6-week release cycle and eliminated a chronic QA bottleneck

Unnamed client · Annual turnover > $3M USD

專案期程

10 weeks

收費金額

$32,000 USD

預估年節省

$240,000

原有問題

  • Manual QA process taking 2–3 weeks per release — the single biggest bottleneck
  • Test coverage below 15% — every deployment was a gamble
  • Frequent production bugs causing emergency rollbacks and customer complaints
  • Dev team burning out on repetitive testing work instead of building features
  • Backlog of customer-requested features growing faster than the team could ship

約定的 KPI

  • Reduce release cycle from 6 weeks to 2 weeks within 10 weeks
  • Automated test coverage to exceed 75% across all critical user flows
  • Production incident rate reduced by at least 60%
  • Zero manual regression testing runs per release

交付成果

  • Release cycle down from 6 weeks to 9 days
  • Test coverage up from 15% to 81% in 10 weeks
  • Production incidents down 74% in the 3 months post-launch
  • Dev team now ships features — zero time spent on manual regression testing
  • Feature backlog cleared 40% faster in Q1 following delivery

我們如何協助節省成本

eliminated QA contractor costs + faster feature revenue + reduced incident recovery time

$240,000

預估年節省

E-Commerce Platform · Singapore

Made an 800K-line legacy codebase safe to change again

Unnamed client · Annual turnover > $6M USD

專案期程

12 weeks

收費金額

$38,000 USD

預估年節省

$190,000

原有問題

  • 800,000+ lines of undocumented legacy PHP — no one understood the full system
  • Bus factor of 1: a single engineer held all critical knowledge — a major business risk
  • New developer onboarding taking 3+ months before anyone could contribute safely
  • Team afraid to touch core modules — every change risked breaking unrelated features
  • Two failed attempts to rewrite the system had already cost over $120,000

約定的 KPI

  • AI-generated documentation covering at least 90% of the codebase within 8 weeks
  • New developer onboarding time reduced from 3 months to under 4 weeks
  • Any module deployable independently with zero unintended side-effects
  • Key engineer dependency eliminated — 3+ team members able to own any area

交付成果

  • Full AI-generated codebase documentation — 94% coverage — live in week 7
  • New developer onboarding reduced from 3 months to 3 weeks
  • All 5 developers can now safely deploy to any part of the system
  • Zero failed deployments due to unexpected cross-module impacts since go-live
  • Key engineer knowledge risk fully mitigated — team no longer dependent on one person

我們如何協助節省成本

2 new devs productive 10× faster, eliminated single-point-of-failure risk, avoided third rewrite attempt

$190,000

預估年節省

Fintech Platform · Indonesia

Cut code review time by 85% and caught security issues before production

Unnamed client · Annual turnover > $15M USD

專案期程

8 weeks

收費金額

$29,000 USD

預估年節省

$280,000

原有問題

  • Code reviews taking 2–4 days per pull request — blocking every developer on the team
  • Security vulnerabilities discovered in production rather than at review stage
  • API documentation permanently out of date — partner integrations failing as a result
  • Over 40% of developer time spent on non-feature work: reviews, meetings, manual checks
  • Two security incidents in the prior 12 months with combined remediation cost of $85,000

約定的 KPI

  • AI-assisted code review turnaround under 2 hours for all pull requests
  • Automated security scanning on every PR — zero known vulnerabilities reaching production
  • API documentation auto-generated and always in sync with the live codebase
  • Developer time spent on actual feature work to exceed 65% (up from ~58%)

交付成果

  • Code review time down from 2–4 days to under 90 minutes on average
  • Security scan runs on every PR — 0 vulnerabilities reached production post-launch
  • API docs now auto-generated on every merge — always accurate, zero manual effort
  • Developer time on feature work up from 58% to 71%
  • Partner integration support tickets down 68% due to reliable, current documentation

我們如何協助節省成本

freed developer capacity + avoided security incident costs + partner integration reliability

$280,000

預估年節省

AI Outsourcing · App Development · Vietnam

Replaced a planned China outsource team with an AI development workflow — delivered faster for 60% less

Unnamed client · Ambitious startup · Pre-revenue, funded

專案期程

11 weeks

收費金額

$34,000 USD

預估年節省

$172,000

原有問題

  • Planned to hire a 6-person offshore development team in China — estimated $14,000/month for 6+ months
  • Serious concerns about IP protection, code ownership and confidentiality with an external team
  • Previous outsourcing experience had resulted in rework, miscommunication and a codebase nobody internally understood
  • Timezone gaps and language friction meant slow feedback loops and expensive back-and-forth
  • No internal technical staff — founders had no way to validate quality or progress

約定的 KPI

  • Deliver a fully functional app MVP within 12 weeks — matching the outsource team's quoted timeline
  • Total cost not to exceed 50% of the offshore team quote ($42,000 ceiling)
  • All code owned, documented and understandable by a future internal hire from day one
  • Founders able to make product decisions directly — no intermediary translation layer

交付成果

  • Full app MVP live in 11 weeks — 1 week faster than the offshore team's best estimate
  • Total cost $34,000 vs. $84,000+ quoted by the China team for equivalent scope
  • 100% code ownership — fully documented, no vendor lock-in, no IP exposure
  • Founders reviewed and approved every feature directly through weekly demos — no translation layer
  • AI-generated test suite included — the app launched with 78% automated test coverage
  • One internal developer onboarded in week 10 — fully productive on the codebase within 5 days

我們如何協助節省成本

vs. 12-month offshore team cost including rework risk — app delivered 1 week ahead of the outsource team's quoted timeline

$172,000

預估年節省

範本交付物

專案報告範例

每次合作均包含即時進度追蹤、里程碑報告和最終交接文件。

TeamTechLab · 進度報告 · 第 11 週(共 12 週)

AI 驅動的 CI/CD 與測試自動化

匿名 SaaS 客戶 · 馬來西亞 · 合作編號 #TTL-2024-07

88%
已完成
按計畫推進
狀態
$32K
合作費用
  • 1Eliminate manual QA as a release bottleneck — the team ships on confidence, not hope
  • 2Build a self-sustaining CI/CD pipeline the team owns and can extend independently
  • 3Reduce production incidents caused by untested code paths
KPI基準值目標值目前值狀態
Release cycle6 weeks≤ 2 weeks9 days✓ 已達成
Automated test coverage15%≥ 75%81%✓ 已達成
Production incidents~8/month≤ 3/month2/month✓ 已達成
Manual regression runsEvery releaseZeroZero✓ 已達成
Deployment lead time3–5 days< 1 day4 hours✓ 已達成
已完成進行中即將到來

Discovery & Codebase Audit

Goals & KPI Agreement

CI/CD Pipeline Architecture

AI Test Generation — Phase 1

AI Test Generation — Phase 2

Integration & QA Validation

Production Pipeline Rollout

Team Training & Handover

  • Kickoff, codebase audit and risk assessment complete完成
  • Project goals, KPIs and success criteria signed off完成
  • CI/CD pipeline architecture approved by engineering lead完成
  • Phase 1 AI-generated tests live — coverage 41%完成
  • Phase 2 AI-generated tests live — coverage 81%完成
  • All critical user flows passing automated regression完成
  • Production pipeline rollout — all environments進行中
  • ·KPI sign-off report delivered to client即將
  • ·Team runbook, docs and training complete即將
  • ·Final handover and project closure即將

風險

Two legacy API endpoints are excluded from automated test coverage due to undocumented side effects. Manual sign-off required before each release until these are refactored in Q3.

洞察

AI-generated tests identified 14 untested edge cases in the checkout flow that had been silently failing for months. Three were causing data inconsistencies — now resolved.

建議

Schedule a monthly review of test coverage drift. As new features ship, coverage can erode if AI test generation is not triggered on each PR. We recommend adding this as a CI gate.

建議

The team is ready to own this pipeline. We recommend a 30-day post-handover check-in rather than an ongoing retainer — the system is stable and well-documented.

TeamTechLab · 保密文件 · 合作編號 #TTL-2024-07 · 第 11 週進度報告

下次更新:第 12 週——最終 KPI 確認與交接

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