AI-native DevOps Intelligence

Ship faster.
Break nothing.

CodeIQ is the AI engineering co-pilot that reviews your PRs, responds to incidents, and optimizes your infra — before your team even wakes up.

Start free trial → See how it works

31%

faster PR review cycles

<5min

incident diagnosis

4×

infra cost reduction

✓ REVIEW auth/middleware.ts — potential SQL injection pattern flagged

⚡ INCIDENT prod-db CPU spike at 94% — root cause: missing index

◈ INFRA 3 idle t3.xlarge instances identified — save $340/mo

✓ REVIEW API rate limiting logic — race condition detected in line 47

⚡ INCIDENT 5xx errors spiking — traced to deploy commit d4f2e89

◈ INFRA S3 lifecycle policies missing — $120/mo wasted storage

✓ REVIEW auth/middleware.ts — potential SQL injection pattern flagged

⚡ INCIDENT prod-db CPU spike at 94% — root cause: missing index

◈ INFRA 3 idle t3.xlarge instances identified — save $340/mo

✓ REVIEW API rate limiting logic — race condition detected in line 47

⚡ INCIDENT 5xx errors spiking — traced to deploy commit d4f2e89

◈ INFRA S3 lifecycle policies missing — $120/mo wasted storage

Product

Four pillars. One engineering nervous system.

CodeIQ plugs into your existing stack in minutes, then works 24/7 to keep your engineers in flow and your systems in health.

AI Code Review

Every pull request gets an instant, deep review: security vulnerabilities, logic bugs, architectural smells, performance regressions, and style inconsistencies — all surfaced as inline PR comments before a human touches it.

GitHub / GitLab SAST Bitbucket Auto-fix suggestions

Incident Response

When alarms fire, CodeIQ acts in under 5 minutes: traces root cause across logs, metrics, and recent deploys, posts a full diagnosis to Slack with mitigation options — and can even initiate rollback pending approval.

PagerDuty Slack CloudWatch Datadog

Infra Optimization

Continuously analyzes your cloud resources to identify waste, right-size underutilized instances, detect misconfigured security groups, and surface actionable cost savings with projected monthly impact.

AWS GCP Azure Terraform

Developer Productivity

DORA metrics in real-time. Deploy frequency, lead time, MTTR, and change failure rate — tracked across every team. Surface bottlenecks, identify burnout risk, and give leads actionable insights to unblock engineers.

DORA metrics Sprint analytics Jira Linear

Integrates with your stack

GitHub

GitLab

AWS

GCP

Azure

Slack

PagerDuty

Jira

Datadog

Terraform

How it works

From connect to intelligent in 10 minutes.

No infrastructure to provision. No ML pipelines to maintain. Plug in your repos and cloud accounts, and CodeIQ starts shipping value on day one.

Connect your stack

OAuth-based integrations with GitHub, GitLab, AWS, GCP, Slack, and Jira. Read-only by default, with explicit approval for any write actions.

CodeIQ learns your codebase

Ingests your repo history, coding conventions, incident runbooks, and architecture docs to build a context-aware model of your engineering org.

AI works 24/7

Reviews PRs as they open, monitors infra continuously, and stands ready as a first responder when incidents trigger. Your team gets notified only when input is needed.

Teams improve over time

Weekly engineering health reports surface trends. CodeIQ learns what matters to your team, reducing noise and increasing signal with every sprint.

codeiq — incident-response — prod

// Incident auto-detected at 03:14 UTC — PagerDuty alert P1 codeiq investigate --alert=P1-20438 --env=prod ▶ ALERT 5xx error rate: 34.2% (threshold: 1%) ▶ SCOPE api-gateway → user-service → postgres-primary // Tracing recent deploys... deploy d4f2e89 feat: add bulk user import endpoint [02:58 UTC] deploy a1c9d33 fix: update rate limit headers [01:42 UTC] ▶ ROOT CAUSE IDENTIFIED ✗ Bulk import triggers N+1 query on users table ✗ Missing index on users.org_id — full table scans under load ✗ Postgres connection pool exhausted at 03:12:44 UTC ▶ RECOMMENDED ACTIONS [1] Rollback deploy d4f2e89 (immediate, low risk) [2] Add index: CREATE INDEX CONCURRENTLY idx_users_org_id ON users(org_id); [3] Patch N+1 in BulkImportService.process() — see diff in Slack thread → Posted full RCA to #incidents-prod. Awaiting engineer approval to rollback. // Time from alert to diagnosis: 4m 12s

Results

Numbers engineering teams care about.

Based on data from engineering teams using AI-augmented DevOps workflows.

31%

reduction in PR review cycle time

4min

average incident diagnosis time

20%

decrease in sprint backlog

$340

average monthly infra savings per team

Pricing

Simple pricing that scales with your team.

No per-seat licensing games. Pay for what your engineering org actually uses.

Starter

^$0

Free forever · up to 2 repos

AI code review on PRs
Up to 50 reviews/month
GitHub & GitLab integration
Basic security scanning
Incident response
Infra optimization
Productivity analytics

Start for free

Built by an engineer who lived the pain.

Akshat Jaimini

Founder & CEO, CodeIQ

𝕏

@akshatjaimini

linkedin.com/in/akshat

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github.com/akshatj

📍 San Francisco, CA

"I spent five years on-call at 3am diagnosing production fires that an AI could have caught in four minutes. I built CodeIQ so no engineer has to do that again."

Akshat Jaimini is a software engineer and infrastructure veteran with experience scaling backend systems at high-growth startups. He spent years dealing with the same unsolved problems across every engineering org he worked in — code reviews that dragged on for days, incidents that woke up entire teams for what turned out to be a missing index, and cloud bills with thousands of dollars of invisible waste.

He started CodeIQ with a simple belief: the best engineering teams of the future won't be the ones with the most engineers — they'll be the ones with the best AI augmenting every layer of the SDLC. CodeIQ is built to give every team that edge, starting day one.

Distributed Systems Site Reliability ML Infrastructure ex-SRE Open Source YC S25