ZEROCKZEROCK for Dev

Code reviews, docs, tests — handled.
Engineers focus on design and implementation

AI agents in the cloud autonomously execute everything from PR creation to documentation generation. Running securely on AWS domestic servers.

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Challenges Development Teams Face

1

Code review overhead slowing down release cycles

2

Insufficient technical documentation leading to knowledge silos

3

Time-consuming legacy code comprehension delaying refactoring

4

Security checks and test creation often deprioritized

40%

of an engineer's time is spent on non-coding tasks

Source: GitHub Octoverse 2024

A Day in the Life of a Tech Lead with ZEROCK

09:00

PR reviews, already done

3 PRs from last night already reviewed by Smart Agent. 1 security risk flagged with details.

Smart Agent + GitHub Integration
10:00

Let AI handle the implementation

"Implement API rate limiting with tests and create a PR." Autonomous execution in a cloud sandbox — PR #142 arrives.

Smart Agent + GitHub Integration
13:00

Technical research, done in 30 minutes

"Compile a tech selection report for microservices migration using internal cases and external sources." Knowledge + Deep Research generates the report.

AI Knowledge Base + Deep Research
15:00

Design review meeting, decisions captured

Meeting AI accurately transcribes technical discussions. Design decisions and TODOs are auto-extracted.

Meeting AI
17:00

Documentation, auto-updated

API docs auto-updated from this week's merged PRs. Automatically synced to Notion.

Schedule Automation + Notion

Dev Agent Mode Workflow

Delegate development tasks to AI with a terminal-like experience

zerock-dev — Step 1
$ zerock dev "Add validation and error handling to this API endpoint"
Analyzing src/api/users.ts... ✓ Input validation added (zod schema) ✓ Error handling added (try-catch + custom errors) ✓ 8 test cases auto-generated → Created PR #142
zerock-dev — Step 2
$ zerock review PR#142
Reviewing 3 files, +187 -23... ⚠ src/api/users.ts:45 - SQL injection risk ✓ Validation logic is appropriate ✓ Error messages are production-ready → Posted 1 fix suggestion as comment
zerock-dev — Step 3
$ zerock docs --update
Analyzing codebase... ✓ API Reference updated (3 endpoints added) ✓ README.md updated ✓ CHANGELOG.md entry added → Updated docs/ directory

Skills That Empower Dev Teams

AI Code Review

Including security checks

Auto Test Generation

+40% coverage

Auto Documentation

Notion integration

Technical Research Reports

Deep Research

Design Meeting Notes

Meeting AI

GitHub PR Creation

Cloud sandbox

Scheduled Report Generation

Cron execution

The Transformation

ZEROCK dramatically improves dev team productivity

BEFORE / AFTERBeforeAfterResult
Code ReviewAvg. 2 hours15 minutes87% reduction
Doc Coverage30%90%3x improvement
Deploy Frequency2x/month3x/week6x improvement
Bug DetectionQA phaseDuring codingEarly detection
Test Coverage45%85%+40%

Dev Team Success Stories

SaaS Company D

200 employees (60 engineers)

85% reduction in code review time

Dev Agent Mode handles initial PR reviews, dramatically reducing senior engineer workload. Security risks are caught early, and production incidents have decreased.

VP of Engineering

Before

Avg. 2 hrs/PR

After

15 min/PR

Fintech Company E

500 employees (120 engineers)

Documentation coverage: 30% → 90%

API docs auto-update with code changes, so documentation never goes stale. New member onboarding time halved, and team ramp-up is significantly faster.

Tech Lead

Before

30% coverage

After

90% coverage

Manufacturing Co. F (DX Division)

1,200 employees (30 in IT)

Deploy frequency: 2x/month → 3x/week

Auto-generated tests boosted coverage from 45% to 85%, greatly reducing deployment anxiety. Running entirely on AWS domestic servers meets our manufacturing security requirements.

DX Division Director

Before

2x/month deploy

After

3x/week deploy

Dev Team ROI

Monthly cost reduction simulation per engineer

Current Cost

Code review (1hr/day)20 hrs/month
Documentation (2hrs/week)8 hrs/month
Test creation (3hrs/week)12 hrs/month
Code research/search (30min/day)10 hrs/month
50 hours/month on indirect tasks
¥250,000

(at ¥5,000/hour for engineers)

After ZEROCK

Code review3 hrs/month (85% reduction)
Documentation1 hr/month (87% reduction)
Test creation3 hrs/month (75% reduction)
Code research/search2 hrs/month (80% reduction)
Reduced to 9 hours/month
¥205,000

Monthly savings

ZEROCK費用

¥30,000/person/month

Net monthly profit/person

¥175,000

5.8x

5.8x return from the first month

AI活用準備度診断

10問・3分で、貴社のAI導入準備状況を可視化

無料で診断する

Let engineers focus on
what matters most

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