Common work still gets re-run by hand.
The pattern is familiar across companies. The work is finding owners, sequencing safely, getting decisions, and keeping the program moving.
Agents for Engineering Operations.
Niwa runs the undifferentiated programs every engineering organization repeats: Postgres upgrades, reliability best practices, idle spend burndowns, flaky test cleanup. Choose from 100+ curated agentic Loop templates; activated Loops adapt to your services, owners, standards, and risk rules.
Loops
42 running programs across infrastructure, reliability, cost, and quality.
Synced 1 min ago
42Active Loops
7Closing gaps
1Needs decision
Needs attention1 decision
Auth endpoint deprecation
billing-admin uses legacy act_as_user token minting with no equivalent in /oauth/v2/token. Owner decision required.
State
Blocked
Closing gapsView all 7
Postgres 16 upgradeTarget: every database on
postgres:16.Gap
1 db
ETA
~1d
Idle spend burndownTarget: non-prod idle spend below 10% of cloud spend.
Over
2 pts
ETA
1d
Safe timeouts rolloutTarget: every customer-facing service has safe outbound timeouts.
Gap
1 svc
ETA
~6h
Template library
Curated patterns shaped by Acme's live environment.
126 available
Search templates
Recommended first Loops
Ranked from services, drift, ownership, and recent history.
14suggested
Infra
Upgrade Postgres databases to 16
Infra
Roll K8s clusters to supported versions
Reliability
Add safe timeouts to service calls
Reliability
Reduce noisy unowned alerts
Cost
Cut idle non-prod cloud spend
Cost
Fix missing cost tags on services
Quality
Quarantine the worst flaky tests
Quality
Reduce CI queue time by pipeline
Platform
Adopt the standard service template
Release
Remove stale deploy gates
Migration
Retire deprecated internal API callers
Observability
Standardize dashboards and alerts
Integrations
Connected systems provide evidence, scope, owner routing, and controlled action paths.
GitHubRepos, PRs, CODEOWNERS, checks, and review state.
Connected
Amazon Web ServicesDatabases, services, spend tags, and runtime versions.
Connected
PagerDutyOn-call state, incident history, escalation policies, and freeze awareness.
Connected
JiraIssues, rollout tickets, project fields, and exception tracking.
Connected
BuildkiteBuild history, flaky tests, deploy gates, and retry patterns.
Connected
DatadogService health, SLOs, dashboards, monitors, and alert noise.
Connected
Knowledge
A living map of services, standards, owners, decisions, and operational history.
Updated 2m ago
The operating drag
The patch is rarely the expensive part.
The frustrating part is that the standard and playbook are usually known. The work is rarely specific to your product or core competency; the cost is turning that standard into durable conformance across services, owners, calendars, exceptions, and drift.
"Done" decays after attention moves.
Last quarter's cleanup returns as this quarter's drift unless the target keeps being evaluated against live systems.
Coding agents create output, not a program.
More PRs and tickets do not help if leaders must still absorb all the triage, risk calls, status chasing, and audit burden.
Day one to steady state
Connect your tools. Map your system. Pick the first Loop.
Niwa connects to the tools you already use, learns your operating model, then recommends Loops or lets you browse 100+ curated programs.
Your first operational program
Clear scope, governed rollout, exceptions-only escalation.
Day 1first loop
01 Connect
Set up integrations.
Niwa has native support for over 50 tools. Connect source control, ticketing systems, CI/CD, cloud providers, incident management, and service catalogs.
02 Map
Niwa maps the system.
Niwa builds a knowledge graph of your engineering systems and processes: services, owners, deploy paths, drift, and more. You can inspect it before any writes.
03 Pick
You choose the Loop.
Niwa uses that mapped knowledge to recommend relevant Loops. Choose one from the recommendations, or browse 100+ vetted templates for common engineering programs.
04 Run
Niwa runs with guardrails.
Niwa stages the rollout over time: opening approved work, routing owners, and tracking progress. It keeps moving asynchronously and pauses only for defined exceptions.
05 Maintain
Niwa keeps it true.
After the Loop converges, Niwa keeps watching the target. If drift returns, it reopens the right work instead of making you restart the program.
Example Loop
Add safe timeouts to customer-facing services.
Niwa finds 18 services with outbound calls and no timeout policy. It opens safe, pre-approved PRs in small batches, routes four ambiguous cases to owners with decision packets, and verifies coverage from live systems. The outcome: every customer-facing path has a timeout policy, exceptions are documented, and follow-up work reopens if drift returns.
Where Niwa fits
If the target and playbook are writable, Niwa can run it.
Niwa is for operational engineering: work where "done" can be described before execution, the population is knowable, and the action pattern is repeatable.
Good fit
- Move every service to Postgres 16
- Add safe outbound timeouts to customer-facing services
- Cut idle non-prod compute spend by 40%
- Quarantine tests flaky for more than 14 days
- Retire callers of a deprecated API by Q3
Not a fit
- Design our new service mesh architecture
- Debug an unknown production bug
- Handle this active SEV in the moment
- Invent next quarter's product roadmap
- Mentor an engineer toward senior
One Loop in motion
A controlled program, not a chat session.
A Loop combines a Spec, org and domain context, and connected systems into a long-running operating program: goal, scope, live state, owners, decision path, status, and audit record. It sequences the work, routes judgment, proves done from live systems, and keeps watching after attention moves on.
Loop inputs
read-only
Spec
Goal, scope, playbook, risks, target metric, and the rules for when Niwa can proceed or must ask for judgment.
Org and domain context
Owners, standards, freeze windows, tiering rules, domain constraints, exceptions, and prior decisions.
Connected systems
Service catalog, GitHub, cloud inventory, deploy history, incident history, and the live system state that proves what is true.
Read-only first
Resolved population: 18 services, 7 gaps, 4 owners, 2 suppressions.
Niwa reconciles the Spec with org context and live system data to produce a concrete plan: expected actions, sequence, owners, likely decision requests, freeze windows, and risk before any write is allowed.
Run passes
Mechanical upgrades proceed. Judgment is batched and routed.
payments-svc and profile-svc move through staging. Related auth questions are grouped into one decision request with context, options, recommendation, and owner. Leaders see status without chasing tickets.
Converge
Metric reaches target: count(databases not on PG16) = 0.
"Done" is computed from live system state, not inferred from merged PRs or asserted because an agent attempted the work.
Keep watch
The audit log records evidence. The Loop keeps checking for drift.
Each observation, action, suppression, decision, and response is recorded with evidence. If the standard decays next quarter, the Loop surfaces it before it becomes another manual campaign.
Control and traceability
Clear control, before and after Niwa acts.
Niwa is built for leaders who need operational work to move without turning into unmanaged agent output.
Intent first
Every Loop starts with a read-only pass: resolved scope, forecasted actions, expected decisions, and risk.
Bounded scope
The Spec names what the Loop may read, touch, suppress, escalate, and explicitly leave alone.
Batched decisions
Related judgment calls are grouped for the right owner, with context, options, recommendation, and consequence. Review becomes a decision queue, not another pile of AI output.
Deterministic done
The Loop converges when the metric reaches the target, then re-evaluates to keep drift visible.
Audit trail
Every observation and action lands in an append-only audit log with evidence and Spec references.
Get started
Map your system. See where Niwa can help.
Niwa starts read-only: it builds a working picture of services, owners, standards, drift, and recent operational history, then recommends first Loops with scope, metric, likely actions, risks, and expected decisions.