Steadwing
Your Autonomous On-Call Engineer
Details
- External ID
- 47270724
- Source
- HN
- Company
- —
- Product
- Steadwing
- Website domain
- steadwing.com
- Launched
- March 6, 2026
- Cohort
- —
- Upvotes
- 12
- Upvotes percentile
- 0.6439114391143912
- Tags
- —
- Fetched at
- Sept. 7, 2026, 9:26 p.m.
- Updated at
- Sept. 7, 2026, 9:26 p.m.
Description
Hey HN! We’re Abejith and Dev, and we’re building Steadwing (https://www.steadwing.com) - an autonomous on-call engineer that diagnoses production incidents/alerts, correlates evidence across your stack, and resolves them. You can try it at https://app.steadwing.com/signup (no credit card required and a demo mode is available).Every on-call engineer knows the pain. It’s 2am, PagerDuty fires, you open the laptop and start the scramble - Datadog for metrics, GitHub for recent commits, Slack to see who’s awake, Elasticsearch for logs. 45 minutes later you find it was a config change that reduced the connection pool size. The fix took 2 minutes. The diagnosis took almost an hour.The problem isn’t fixing things, it’s the correlation. The signal is scattered across a dozen tools and nobody has the full picture. My co-founder, Dev, and I met through Entrepreneurs First and both felt that incident response was fundamentally broken and could be significantly improved, with a long-term vision of making software self-healing.So we built Steadwing. When an alert fires, it pulls context simultaneously from logs, metrics, traces and recent commits - correlates the signals, and delivers a structured RCA in under 5 minutes with plain-language root cause, evidence linked back to source tools, a timeline, impact assessment, and both short-term and long-term fixes.For noisy environments: say a bad deploy causes cascading failures across 5 microservices and triggers 30+ alerts. Steadwing groups them into one incident and tells you what the actual root cause is vs. what’s just a side effect. It doesn’t just diagnose - it suggests safe fixes ranked by risk, and can handle rollbacks, scaling adjustments, and config changes for you. You can also ask follow-up questions about any incident or general infra questions conversationally.All 20+ integrations (Datadog, PagerDuty, Slack, GitHub, Sentry, AWS, K8s, etc.) connect via OAuth or API Key - no agents, no code changes, live in a few seconds. We also built an MCP server so AI coding agents can interact with Steadwing from your dev environment, and we open-sourced OpenAlerts (https://github.com/steadwing/openalerts, https://openalerts.dev) - a monitoring layer for agentic frameworks with real-time alert rules for LLM errors, infra failures, stuck sessions, and queue buildup, with multi-channel notifications via Slack, Discord, and Telegram.We have a free tier and would love feedback, especially from folks who are on-call regularly.Let us know what works, what’s missing, and what you’d want next :)
Enrichment
- Theme
- AI agent frameworks and developer tools
- Vertical
- Horizontal
- Function
- Agent / copilot
- Audience
- B2B
- AI stance
- AI-native
- Project type
- Commercial product
- Normalized one-liner
- autonomous on-call engineer
- Manually corrected
- False
Could you build this?
No Building an autonomous on-call engineer that safely diagnoses production incidents, correlates telemetry across diverse infrastructure, and automatically executes remediation requires deep Site Reliability Engineering domain expertise and trusted multi-tenant infrastructure integrations.
What it would actually take: Requires deep bidirectional integrations with Datadog, CloudWatch, PagerDuty, Kubernetes, and cloud provider APIs, orchestrated via distributed workflow engines like Temporal. The core requires multi-step autonomous agent architectures with robust safety sandboxes, human-in-the-loop permission tiers, and deterministic verification of runbooks to prevent disastrous misdiagnoses. SRE veterans and systems engineers are needed to safely handle distributed tracing, log anomaly detection, and automated remediation without causing cascading production outages.
Discussion
5 comments analyzed.
Competitors mentioned: Steadwing, OpenAlerts
Concerns raised: AI agents failing silently or lying
Competitors
Other products that read as similar to this one — 39 launches clear the similarity bar, closest 8 shown.
Attention rank: #21 of 40 (itself plus its competitors, highest first — normalized so YC and Product Hunt are compared fairly).
Launched 114 days after the earliest competitor.
- Watches user sessions, finds bugs that matter, and fixes them · hn · 2026-08-27 · 40 upvotes · similarity 0.40
- Detail, a Bug Finder · hn · 2025-12-09 · 67 upvotes · similarity 0.39
- On-Call Health · hn · 2026-02-11 · 5 upvotes · similarity 0.38
- FixBugs · hn · 2026-07-13 · 43 upvotes · similarity 0.37
- antidbg · github · 2026-09-27 · 22 upvotes · similarity 0.37
- SuperPlane · hn · 2026-01-28 · 21 upvotes · similarity 0.36
- OpenTiger · hn · 2026-02-22 · 11 upvotes · similarity 0.36
- I built self-hosted deployment automation tool for Windows and IIS · hn · 2026-08-25 · 35 upvotes · similarity 0.36
Other launches for this product
- No other launches for this product.
Same idea, different domain
Nobody's really built a agent / copilot tool for Agriculture yet.