Engineering teams face a constant tax: boilerplate to write, PRs waiting in the queue, documentation that falls out of date the moment it's published. These are solved problems. We deploy coding agents that integrate into your existing workflow — your stack, your conventions, your CI/CD — and eliminate the work that shouldn't require a senior engineer.
3min
PR review time (was 48h)
3–5×
faster feature delivery
100%
PRs reviewed automatically
The problem
Why is this still done manually?
Your team writes the same frontend/backend boilerplate every sprint — 20–30% of dev time is pure repetition
PRs sit unreviewed for 1–3 days, blocking the entire delivery pipeline
Documentation is always out of date — new hires can't self-serve and senior devs spend hours on knowledge transfer
What the agent does
Agent capabilities
Code generation from spec: take a ticket or Figma design and produce production-ready code
Automated PR review: flag bugs, security issues, and style violations with line-level comments
Test generation: write unit and E2E tests from an existing module or functional requirement
Documentation agent: auto-update README, API specs, and internal wiki when code changes
Tech debt detection: scan the codebase and produce a prioritized remediation plan
Onboarding agent: answers codebase questions for new developers on Slack
Real-world scenario
The challengeClient situation
A SaaS startup has 8 engineers. Every feature requires 2–4 hours of boilerplate setup (component scaffolding, API endpoint creation, test file setup, documentation stub). The team also has a 48-hour average PR review time because the lead engineer is a bottleneck for all code reviews.
The solutionWhat we built
We deploy two agents: a code generation agent that reads the ticket, generates the component, endpoint, and test file in the team's exact stack and conventions (React, TypeScript, Jest, Express); and a PR review agent integrated into GitHub Actions that reviews every PR within 3 minutes, posting structured comments by file and line. The lead engineer now reviews only the edge cases the agent flags as high-severity.
Deployment timeline
01
Codebase audit & convention mapping
2–3 days
02
Agent build & CI/CD integration
5–8 days
03
GitHub Actions / Slack wiring
2–3 days
04
Go live & calibration
Week 2–3
Typical stack
GPT-5 / Claude 4 SonnetGitHub ActionsSlackJest / Playwright
Want this agent in your business?
We'll schedule a 30-minute call to understand your case and design the right solution.