Sentiko is an agent that finds, prioritizes, and manages tech debt across your application, Postgres database, and infrastructure. It identifies the improvements that matter, explains each recommendation with production evidence, and carries the work through a verified outcome—so a small team can keep shipping.
Not another backlog for your engineers. Sentiko keeps each initiative moving and brings in your team only for business context or approval.
SEN-142 · Active initiative
The agent is carrying four steps. One release-window decision needs the application team.
Built for lean engineering teams
Small teams often run production databases before they have a DBA, a platform team, or a senior engineer with deep database expertise. That squeeze is tightening: AI-assisted development multiplies the code and schema changes reaching production while the same engineers are responsible for more of the stack. More change with less time for deep review is how database tech debt compounds now. Sentiko identifies what matters, recommends the right next move, and carries the work through.
Your engineers own more than their specialtiesApplication engineers are making database and infrastructure decisions without a specialist beside them.
Tech debt keeps losing to feature workImportant database improvements wait because nobody has time to investigate and carry them through.
The team needs a decision, not another findingSentiko identifies what matters, shows its reasoning, and moves the right work forward.
What Sentiko finds
Sentiko connects evidence from application code, production workload, schema, database configuration, infrastructure, and change history. It evaluates that evidence continuously, on every change, or whenever you request an audit.
ORM access patterns, N+1 paths, transaction scope, background jobs, and code ownership.
Latency, frequency, waits, plan changes, hot paths, and production baselines.
Missing or redundant indexes, type mismatches, access paths, constraints, and migration risk.
Permissions, connection limits, extensions, parameters, maintenance settings, and security posture.
CPU, I/O, storage, replicas, topology, connection pressure, and capacity constraints.
Application diffs, migrations, deploys, prior interventions, team decisions, and measured outcomes.
New detector patterns are added continuously. Evidence, impact, and confidence gates keep a growing catalog from becoming growing noise.
Sentiko learns normal query and workload behavior, then detects new hot paths, plan shifts, capacity pressure, configuration drift, and other meaningful regressions.
Production baselines · deploy-aware · continuously re-evaluatedCode and migration changes are evaluated against live workload and system context for likely query, transaction, schema, connection, security, and operational regressions. Predictions remain distinct from measured production results.
Application diffs · migrations · production verificationRun a full persistence-layer audit at any time, or target a service, code path, query, schema, table, change, or risk category. The findings enter the same system model and plan.
Full posture · targeted scope · one durable resultAn agent with persistent context
Sentiko maintains a living model of your persistence layer, so it can decide what deserves attention, plan a safe response, keep the work moving, and verify the result. Every investigation, constraint, decision, and outcome makes the next initiative smarter.
Sentiko joins application intent with query behavior, schema and indexes, deployment history, infrastructure conditions, and prior decisions. It uses that context to distinguish meaningful debt from background noise and prioritize by impact, confidence, and risk.
An initiative spans the code, schema, infrastructure, owners, guardrails, rollout, and production verification required to reach a measured outcome. Sentiko advances routine steps across connected tools and asks for a person only when judgment or approval is required.
Confirm query ownership and competing workAgent · evidence criterion met
DonePredict benefit and bound write riskAgent · HypoPG + workload model
DonePrepare the guarded interventionAgent · checks and rollback attached
RunningConfirm an uncontaminated release windowApplication owner · one precise decision
Needs youObserve the production success metricAgent · begins after deployment
QueuedSentiko follows the work into production, evaluates registered success and guard metrics, and reports what the evidence supports. Resolved, not resolved, and inconclusive are all valid outcomes—and every result makes the next initiative smarter.
An agent, not another dashboard
Slack carries the heartbeat, GitHub carries change context, observability carries production evidence, and the console preserves the complete reasoning. Sentiko keeps one initiative moving across them all—without giving a small team another inbox to watch.
Explore the cross-surface prototypeHealthy heartbeat, meaningful movement, and precise escalations only when the plan needs a person.
System model, plan strategy, evidence, alternatives, challenges, outcomes, and audit history.
Affected workload, risk, checks, rollback, and verification follow the work into normal code review.
Optional generated dashboards, observation windows, infrastructure context, and bounded actions.
Assignment, sprint, notes, and status stay aligned without turning a ticket into the evidence store.
Precise production evidence, active-plan context, and guarded workflow commands inside the developer loop.
Security + control
Sentiko sees across production and application boundaries, but its authority stays bounded. Access, evidence rules, guardrails, and human control points are part of the product—not deployment footnotes.
Metadata and safe statistics only. Sentiko receives no table-data access or production database write credentials.
The agent makes evidence-backed recommendations and advances routine steps inside explicit guardrails. Judgment-heavy changes and production authority remain with your team.
BYOC and in-VPC deployment are first-class. Raw telemetry, source, and the outcome ledger stay inside your environment.
Evidence source, freshness, confidence, alternatives, and the rule behind every verdict remain available for review.
Private beta for small teams
Start with one piece of tech debt your team knows matters but never has time to own. We’ll map the whole-system context and show how the agent would prioritize it, move it forward, and verify the outcome—no connection required.
Questions we expect
Sentiko is an agent: it does not stop after surfacing a finding or answering a question. Within your guardrails, it maintains context, decides what deserves attention, builds an initiative, advances routine steps across your tools, and verifies the production outcome. It asks a person when approval or organizational context is required.
Yes. Run a complete persistence-layer audit or scope one to a service, code path, query, schema, table, recent change, or risk category. On-demand findings join the same context, prioritization, and planning workflow as continuous detections.
An initiative can include application code, schema and migration work, infrastructure configuration, human decisions, deployment dependencies, observation windows, and production verification. Each step stays in the customer-controlled tool appropriate to that work.
No. Sentiko reads database metadata and safe operational statistics through a restricted role. Any change still moves through the customer-controlled system appropriate to that step.
You define the guardrails. Sentiko can autonomously advance routine analysis, planning, coordination, and observation steps. Judgment-heavy changes remain human-confirmed, and production writes stay in customer-controlled systems.
Sentiko records a not-resolved outcome, preserves the attempt, and returns the initiative to planning. If the evidence is too weak or contradictory, it reports an inconclusive result rather than inventing confidence.