Engineering

Database Optimization Agent

Watches your slow query log, suggests indexes, rewrites queries, monitors plan regressions.

Features

5

Tech

11

Steps

5

AI Agent

Database Optimization Agent

Production-readyObservable
pg_stat_statements
pganalyze
EXPLAIN ANALYZE

Capabilities

What this agent does

Every capability is shipped end-to-end — not a feature flag. You get a working slice on day one and we expand from there.

Feature 01

Slow query surfacing

Daily top-N report of the queries hurting most.

Feature 02

Index recommendations

Suggests indexes with size and write-cost tradeoffs.

Feature 03

Query rewrite

Proposes equivalent faster SQL with explain-plan proof.

Feature 04

Plan regression alerts

Notices when a plan changes for the worse.

Feature 05

Schema review

Flags missing constraints, over-wide tables, hot rows.

Stack

11 technologies we use

Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.

pg_stat_statementspganalyzeEXPLAIN ANALYZEOpenAI GPT-5Anthropic Claude 4.7PostgreSQLMySQLClickHouseDatadog DBVercel AI SDKInngest

System at a glance

How the agent flows

A simplified view of what comes in, what the agent does with it, and what it produces. Each arrow is observable end-to-end.

Inputs

Code changeIssue / alertRepo + logs context

Agent

Database Optimization Agent

Plan → tool-call → reflect, with approval gates.

Tools the agent calls

pg_stat_statementspganalyzeEXPLAIN ANALYZEOpenAI GPT-5Anthropic Claude 4.7PostgreSQL+5 more

Outputs

PR commentAuto-fix patchRunbook execution
Every step traced in Langfuse / Braintrust · cost + latency monitored · full replay on failure · human-in-the-loop where it matters

Engagement

How we roll it out

A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.

  1. 01

    Read-only connect

    Hook into stats views; no write access needed.

  2. 02

    Baseline + rank

    Capture two weeks of workload to rank pain points.

  3. 03

    Staged fixes

    Apply biggest wins in staging, measure before prod.

  4. 04

    Continuous watch

    Daily report; alert on plan-cost regressions.

  5. 05

    Quarterly schema review

    Bigger architecture suggestions packaged for the team.

Outcomes

What you can expect

Real numbers we see when Database Optimization Agent ships on top of an actual workflow. Specifics vary with starting baseline, data quality, and scope — but these are the ranges.

Outcome 01

−35%

PR cycle time

Reviews land in minutes; trivial issues auto-fixed.

Outcome 02

+40%

Bug catch rate

Pre-merge, vs the previous review process alone.

Outcome 03

−50%

MTTR

Mean time to resolve incidents after agent investigates first.

Sample use cases

What this looks like in practice

Three concrete scenarios where teams deploy Database Optimization Agent today. Your engagement starts with one of these (or your own variant) and expands from there.

01

Always-on senior reviewer

Every PR gets an inline review for bugs, security, breaking changes — junior engineers ship safer code, seniors spend review time on architecture.

02

First-responder on every page

When PagerDuty fires, the agent correlates logs + metrics + recent deploys, drafts the incident summary, runs read-only diagnostics, posts to Slack.

03

Migration at scale

Framework or major-version upgrade across hundreds of files — agent applies AST codemods, fixes the edge cases LLM-style, opens reviewable PRs per module.

Typical engagement

From kickoff to live in 4-8 weeks

Most Database Optimization Agent engagements follow this shape. We give you a firm quote after a 30-minute scoping call, and the price is fixed up-front so you can budget.

2-3 weeks

Pilot

  • Discovery + playbook write-up
  • Tool design + guardrails
  • Eval suite + sandbox deploy
Core

2-4 weeks

Production

  • Hardened deploy on your stack
  • Observability dashboard + alerts
  • Two-week supervised mode

Ongoing

Handover & support

  • Runbook + team training
  • Monthly tuning + eval review
  • Pause or expand any time

Indicative range

$3,000 — $8,000

Full project, scoped + fixed up-front. Includes pilot, production, and 30 days of post-launch support.

Or hire us by the week

from $1,000/wk

Embedded retainer — best for evolving scopes.

Ready to ship Database Optimization Agent?

Tell us about your data, your tools, and what success looks like. We come back within one business day with a clear plan, price, and timeline.

Get started

Ready to ship the software your business actually runs on?

Tell us what you're building. We respond within one business day with a clear plan, price, and timeline.

16 industry CRMs shipped96+ clients · 14 countriesRemote-first · Global delivery