AI writes the code.
Who's watching the quality?

Your team merged 15 AI-generated PRs this week. Implera tells you what that did to your codebase.

Connect a GitHub repo. Read-only. No configuration. See a live demo

The reality

AI is generating code faster than anyone can review it.

Copilot, Cursor and Claude Code are writing thousands of lines a week. Your team approves PRs at pace. Code lands fast. But nobody has time to check whether test coverage is slipping, files are bloating, dependencies are piling up or security gaps are appearing.

The code gets written. The quality gets assumed.

You need a system that watches what AI-assisted development is doing to your codebase over time. Not a code reviewer. A quality layer.

What Implera does

Automated quality intelligence
for AI-era codebases.

Implera scans your repository and gives you a clear score across security, testing, architecture, performance, dependencies, accessibility and documentation.

One score, zero ambiguity

A single number from 0 to 100 that tells you where your codebase stands. No dashboards to interpret. No config to write.

See what AI-generated code costs you

Find out if all those merged PRs are maintaining quality or quietly degrading it. Track score changes over time.

Know what to implement next

Every finding comes with a specific action and expected impact. Not just warnings. Clear next steps your team can act on.

Catch regressions before users do

Test coverage dropping. Files growing past limits. Security gaps in new code. See it in the score before it hits production.

How it works

Connect. Analyse. Stay in control.

01

Connect your repo

Sign in with GitHub. Select a repository. Read-only access. Nothing is modified.

02

Run analysis

One click. Implera scans your repository, runs static analysis and checks seven quality domains. Results in under a minute.

03

Track quality over time

See your score, what changed since last time and where to focus next. Run again after your next batch of merges.

What you get

Real findings. Not noise.

Every analysis gives you a score, your single biggest area of concern, a breakdown across seven quality domains and a clear view of what changed.

0

Stable

Above average for most projects. Test coverage has dropped since last week.

0

Security

0

Testing

0

Architecture

0

Performance

Score improved by 4 points since last run

Next step

Test coverage is declining as new code lands

12 source files were added this week but no new test files. Coverage ratio dropped from 18% to 14%.

Add tests for the most recently changed modules to stop the decline.

Why now

You didn't write half of this code.

Code review was designed for human-speed development. When AI generates code at 10x the rate, manual review becomes a bottleneck and quality slips through. Implera gives you an automated layer that keeps up.

AI doesn't write tests

Most AI-generated code ships without tests. Implera tracks your test-to-source ratio and flags when coverage is falling behind.

Velocity hides decay

Shipping fast feels productive. But without visibility into what it costs, technical debt compounds silently.

You need a feedback loop

Run Implera after every milestone. See if quality is keeping pace with velocity. Act on data, not assumptions.

By the numbers

What Implera watches for on every run.

12

Secret patterns

52

Dangerous API patterns

10

WCAG checks

23

Languages covered

FAQ

Common questions

Find out what AI is doing to your codebase.

Connect a repository. Get your score in under a minute. No configuration. No credit card.

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