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Engine 1 · Code Logging

Context-Aware Code Logging

Write the logs before you need them.

LogRite scans your codebase, measures the coverage no other tool computes, and generates the context-aware logs you're missing, in your standard, before they ever ship.

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7% → 100%

Log coverage, measured and closed

Before runtime

Acts at the code level, not after the incident

Every path

Entry, external calls, DB calls, exceptions

Your standard

One template, enforced across every repo

Context-aware coverage, across every line you run

Most tools only help with the code you're writing today. LogRite covers all of it, and every log it writes captures the workflow, the transaction, the user it belongs to, never generic boilerplate.

New code

Before it ships

LogRite reads new code as it's written and adds the logs it's missing, so the line that explains a failure exists before the failure does.

Runtime

While it runs

Every push gets re-scanned, so the code live in production stays fully logged and coverage never decays as your team ships.

Legacy

Code no one remembers writing

LogRite backfills the logs your oldest systems never had, the code AI assistants won't touch and the code an audit asks about first.

From repo to fully logged, in four steps

From code repository integration to automated log generation, LogRite provides an end-to-end workflow for identifying logging gaps and generating contextual log statements before deployment.

The four steps end to end: scan, review, generate, and a pull request that closes coverage from 7% to 100%.

Complete Generation Workflow

1

Connect Code Repositories

Select from your synchronized repositories or add new projects to get started with log analysis.

2

Configure Analyzer Rules

Create custom rules for log generation or select from existing templates. Save configurations as reusable templates for consistency across projects.

3

Initiate Log Scan

Specify the branch name, select your template, and provide the checkout directory path. LogRite checks out your project and begins analysis.

4

Review Findings & Generate

View log coverage percentages, critical missing logs, and file-by-file suggestions. Approve changes and generate logs that are automatically pushed to your repository.

One standard, end to end

One standard, applied to every line

Define the logging shape once. LogRite generates code that conforms, and every line it writes carries the context you'll want during an incident.

The standard

Your logging standard, enforced everywhere

Most teams have coding and security standards but no logging standard. Define a template once, and every repository conforms to the same shape, so cross-service debugging and downstream analytics actually work.

Use the LogRite defaults or write your own. Want it on every push instead of on demand? The LogRite agent runs exactly this workflow for you.

logrite.template

  • Log on method entry
  • Log every external call, with payload and latency
  • Log every database call
  • Log every exception path

The standard, applied

The same function, before and after

Each rule above becomes a real log line: method entry, every external and database call, and the exception path.

Before: Missing Logs
async function processPayment(userId, amount) {
try {
const user = await db.getUser(userId)
const result = await stripe.charge(amount)
await db.updateBalance(userId, amount)
return result
} catch (error) {
throw error
}
}
After: Generated Logs
async function processPayment(userId, amount) {
logger.info('Processing payment', { userId, amount })
try {
const user = await db.getUser(userId)
logger.debug('User retrieved', { userId })
const result = await stripe.charge(amount)
logger.info('Payment charged', { chargeId: result.id })
await db.updateBalance(userId, amount)
logger.info('Payment completed', { userId, amount })
return result
} catch (error) {
logger.error('Payment failed', { userId, amount, error })
throw error
}
}

Inside every line

Every line carries the context you'll wish you had

No boilerplate, no guesswork. Just the context you'll need during incidents: user IDs, request parameters, method names, timestamps.

User context

User IDs, session, and tenant identifiers are included automatically, so you can trace actions back to specific users.

Request parameters

Method arguments, request payloads, and relevant business data are captured automatically for complete traceability.

Execution timing

Query execution times, API response durations, and method timings help you identify performance bottlenecks.

Get the logs your code is missing

Connect your code repositories and start generating comprehensive logs automatically. See how LogRite transforms your codebase before runtime.

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