Get started
Tell us what you're building. We respond within one business day with a clear plan, price, and timeline.
Watches your slow query log, suggests indexes, rewrites queries, monitors plan regressions.
Features
5
Tech
11
Steps
5
Database Optimization Agent
Capabilities
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
Daily top-N report of the queries hurting most.
Feature 02
Suggests indexes with size and write-cost tradeoffs.
Feature 03
Proposes equivalent faster SQL with explain-plan proof.
Feature 04
Notices when a plan changes for the worse.
Feature 05
Flags missing constraints, over-wide tables, hot rows.
Stack
Production-tested tools chosen for reliability, observability, and developer velocity. Every piece is swappable.
System at a glance
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
Agent
Database Optimization Agent
Plan → tool-call → reflect, with approval gates.
Tools the agent calls
Outputs
Engagement
A 5-step process from kickoff to handover. Every step has a deliverable you can sign off on.
Hook into stats views; no write access needed.
Capture two weeks of workload to rank pain points.
Apply biggest wins in staging, measure before prod.
Daily report; alert on plan-cost regressions.
Bigger architecture suggestions packaged for the team.
Outcomes
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
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.
Every PR gets an inline review for bugs, security, breaking changes — junior engineers ship safer code, seniors spend review time on architecture.
When PagerDuty fires, the agent correlates logs + metrics + recent deploys, drafts the incident summary, runs read-only diagnostics, posts to Slack.
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
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
2-4 weeks
Ongoing
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.
Also in Engineering
Often deployed alongside — or instead of — Database Optimization Agent.
Reviews every PR for bugs, security holes, style, and breaking changes — leaves inline GitHub comments.
View detailsDiagnoses alerts, correlates signals across logs/metrics/traces, runs runbooks, drafts the postmortem.
View detailsContinuous code, infra, and dependency scanning — finds and prioritises real risk, not noise.
View detailsReads your code and writes unit, integration, and end-to-end tests that actually cover the risky paths.
View detailsTell 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.