Hot take:
The best observability tool is the one that makes itself unnecessary.
You shouldn't need to become an expert in reading traces and logs just to fix a bug in your own app.
Detection is a solved problem. Resolution is not.
That's what we're working on. π
https://t.co/BhiYWY1W7A
Stop debugging. Start fixing.
Tracelit records your sessions and AI flags the exact moment something broke, root cause and all.
Less hunting. More shipping.
#VibeCoding#DevOps#SRE#Tracelit#EngineeringLife
AI copilots changed how you write code.
AI engineers are about to change what happens when it breaks in prod.
Tracelit records every session. Flags the exact moment things went wrong. Tells you why.
You don't hunt for the bug anymore.
It finds you.
#VibeCoding#SRE#DevOps #Tracelit #AIEngineering #IncidentManagement
Your AI writes the code.
But you're still manually digging through logs to find what broke?
Tracelit ends that.
Session replay + AI root cause analysis β you see exactly what happened and why. π
No guesswork. No dashboards. Just answers.
#VibeCoding#SRE#Tracelit #IncidentResponse #DevOps
If your AI writes the code...
Why are YOU still doing root cause analysis manually?
Tracelit records every session. AI flags the exact moment something broke.
Not "somewhere in this log."
Not "probably this PR."
The. Exact. Moment. π―
Fix it. Don't hunt for it.
#VibeCoding #SRE #DevOps #RootCauseAnalysis #Tracelit #EngineeringTools
Observability is the wrong category.
Observing isn't the goal. Understanding is.
There's a difference between knowing that something broke, and knowing why.
Most tools give you the first. Engineers still have to figure out the second themselves.
Tracelit records every session, flags the exact moment something went wrong, and reasons through the cause.
No log diving. No guesswork. Just answers.
#SRE #DevOps #VibeCoding #Debugging #Tracelit
Stop debugging. Start fixing.
Tracelit records your sessions and AI flags the exact moment something broke, root cause and all.
Less hunting. More shipping.
#VibeCoding#DevOps#SRE#Tracelit#EngineeringLife
What would your team build if debugging took 70% less time?
Real question.
Most engineers spend a third of their week doing incident archaeology, logs, dashboards, reconstructing timelines at 2am.
Tracelit investigates incidents autonomously. Root cause analysis before you open your laptop.
Your stack. Your OpenAI key. No double billing.
#SRE #DevOps #VibeCoding #OnCall #Tracelit
Something breaks in your stack at 11pm.
You open Sentry. You get a stack trace and hours of manual digging you don't have time for.
Tracelit does this instead π
β Traces the exact session
β Shows you what the user hit
β Opens a GitHub PR with the fix
That's the whole thing. No extra tools. No extra hours.
For engineers who'd rather be building than debugging.
#DevOps #SRE #VibeCoding #Tracelit #BuildInPublic #SoloFounder #EngineeringLife #TechFounder #IndieHacker #CodeLife
π¨ WE'RE LIVE ON PRODUCT HUNT! π¨
Meet Tracelit, the tool that puts an end to endless debugging sessions. π
Real-time error monitoring. AI that diagnoses *why* your app broke. Actionable fixes, fast.
Built for developers and engineering teams who are tired of playing detective in production logs.
Link in bio to upvote us on Product Hunt, every single vote counts todayπ
https://t.co/qeYKTq1qxR
Want to see it in action? Demo link also in bioπ
https://t.co/aha1059Ysg
Drop a π₯ in the comments if you've ever lost hours to a mystery production bug!
#Tracelit #Claude #Lovable #ProductHunt #Launch #ErrorMonitoring #DevTools #AI #SoftwareDevelopment #Startup
Tracelit vs Traditional monitoring.
The difference isn't a feature. It's a shift in who does the work.
Whether you're a solo vibe coder shipping fast or a senior engineer tired of being paged for things that could've fixed themselves, the goal is the same:
Stay in flow. Not in firefighting mode. π₯
#IncidentResponse #DevOps #SRE #Observability #VibeCoding #AIEngineering #Tracelit #BuildInPublic #EngineeringLeadership #PlatformEngineering
Most tools weren't bad.
They just required humans to do all the thinking. π§
Logs β what happened.
Traces β where.
Neither has the "WHY", Or what to do next.
So we asked: what if the engineer was already there? π
Not an alert. Not a chatbot. An engineer, never sleeps, never loses context.
That's Tracelit. Built in public. No sales call required.π
#Tracelit #Claude #Lovable #VibeCoding #SRE #BuildInPublic #AIEngineering #DevOps #OnCall
We get asked the same things every week. Honest answers, no spin:
β Do we need to replace our existing monitoring stack?
No. Tracelit sits alongside your current tools, Datadog, Grafana, Prometheus, whatever you're running. It reads what they produce and reasons about it. No rip-and-replace.
β Is this just another AI chatbot for DevOps?
No. You don't query it. It runs continuously, investigates automatically, and surfaces findings without being asked. The difference matters.
β What if we're a small team without dedicated SRE?
That's exactly who we built this for. You get autonomous triage without the headcount. No 3am pages waiting for someone to dig in, Tracelit already has.
β How is this different from Datadog's AI features?
Datadog records and alerts. Tracelit investigates. Those are different jobs, and conflating them is how teams stay stuck in alert fatigue.
β What does "autonomous" actually mean here?
It detects the issue β identifies the root cause β quantifies the impact β recommends the fix. No human initiating the process. That's not a feature. That's a different category.
If your on-call rotation is just triage work dressed up as incident response, that's the problem we're solving.
#Tracelit #Claude #Lovable #SRE #DevOps #IncidentResponse #VibeCoding #AIEngineering #BuildInPublic #PlatformEngineering #Observability
X gets a lot more interesting when your timeline is full of people actually building.
I'm looking to connect with founders, builders, and makers working on:
π€ AI
π» SaaS
βοΈ Automation
π Web Apps
π§ Product Development
π¨βπ» Dev Tools
π Startups
Say hi in the comments and drop:
β’ What you're building
β’ A link to your product
β’ Who you're looking to meet
I'll check out every project.
@X, help this reach more builders.
Most observability tooling assumes a human is in the loop.
That assumption is already wrong.
When your incident is triggered by an agent, escalated by another agent, and needs resolution at 2am, you need infrastructure that's agentic too.
The 775 AI summaries stat is the tell.π
We're not building another log aggregator. We're building infrastructure that understands incidents, not just records them.
Agents are writing software. Agents are building agents. Your observability tool needs to keep up.
#Tracelit #Lovable #Claude #Supabase #Replit #Observability #AgenticAI #SoftwareEngineering #VibeCoding #DevOps #AIInfrastructure #MLOps #BackendEngineering #SeniorEngineer #BuildInPublic #AI
Most tools weren't bad.
They just required humans to do all the thinking. π§
Logs β what happened.
Traces β where.
Neither β why. Or what to do next.
So we asked: what if the engineer was already there?
Not an alert. Not a chatbot. An engineer, never sleeps, never loses context.
That's Tracelit. Built in public. No sales call required. π
#Tracelit #Claude #Lovable #VibeCoding #SRE #BuildInPublic #AIEngineering #DevOps #OnCall
Vibe coders ship fast.
Then something breaks and the vibes evaporate.
Not because you wrote bad code, because you had no visibility into what your code was actually doing at runtime.
@tracelitai gives you that visibility. Ship fast. Stay unblocked.
#Tracelit#Lovable #VibeCoding #VibeCoders #DevTools #SoftwareEngineering #ShipIt
Distributed tracing shouldn't require a dedicated engineer to understand.
If you need a 3-hour onboarding to read a trace, the tool failed, not you.
Clarity is a feature. Tracelit ships it by default.
#Tracelit#DistributedSystems#VibeCoding#EngineeringCulture#DevTools