Recent server errors can feed the analysis instead of dying in a log viewer.
AI error analysis
that actually reads your logs.
Most logs never get read. 500 errors sit unnoticed until a customer hits them. NextFlash reads those errors and turns them into a fix you review.
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The pain it stops
You get a short list of proven problems—not another wall of stack traces to triage by hand.
Run a chosen task and the Agent opens a pull request with a preview you can inspect.
The actual problem
Logs without a reader are how production stays broken.
A log tab is not a safety net. If nobody is looking at 500 errors, stack traces, and failed builds, they might as well not exist. NextFlash uses that evidence when you run an analysis, then turns it into a reviewable change.
See the failure without a scavenger hunt
Filter traffic by time, method, status, path, and environment. Inspect duration, console output, error stacks, and proxy failures in one place.
Failed builds are part of the story
When the latest production deploy failed, its build output can be attached to the analysis with the repository.
Only issues with evidence
The Agent reviews code and available production context in report mode. It skips speculative cleanup and asks for proven, actionable problems.
A fix you can still reject
Choose a proposed task to start implementation. The Agent commits to a dedicated branch and opens a pull request.
What changes
From unread errors to a change you can ship.
Logging alone leaves the painful part to you. NextFlash closes the gap from evidence to a reviewable fix.
NextFlash does not continuously start analyses or fixes on its own. A person starts both actions and reviews the resulting pull request.
How the pain gets closed
You start it. The Agent does the reading and the first draft.
Nothing runs unattended. You choose when to look, which issue to fix, and whether the pull request should merge.
- 01
Run error analysis
Start a read-only audit when you want logs and code actually inspected—not left for later.
- 02
Review the findings
The report becomes up to three deduplicated tasks, ordered by severity and backed by evidence.
- 03
Run a chosen task
Pick the issue worth fixing. Only then can the Agent edit code and prepare a branch.
- 04
Review PR and preview
Inspect the diff and the preview before you decide to merge. The customer never has to be the first reviewer.
How it runs
You start it. The Agent drafts the fix.
The Agent tab is on every project. Error and performance analyses use ClickHouse when it is configured; runs need OpenRouter and GitHub write permissions. Without ClickHouse, code analysis can still run but will not claim production evidence it cannot see.
FAQ
The details, without the fine print maze.
What teams usually want to know before switching.
Does NextFlash monitor and fix errors automatically?
Not unattended. NextFlash records and displays configured logs, but a person starts an error analysis manually. A person also chooses whether to run a proposed fix. The resulting pull request is never merged automatically.
Which production data can an error analysis use?
When available, it receives the latest production deployment status, failed build output, and recent 500 errors from the previous 24 hours. The repository is analyzed alongside that context.
What happens after a fix task runs?
The Agent edits a private clone, refreshes the lockfile when needed, commits the result, pushes a dedicated branch, and opens a pull request. The GitHub pull-request webhook then starts a preview deployment.
Are the logs a full observability platform?
No. NextFlash provides request and runtime logs plus traffic summaries, but it does not currently include distributed traces, full OpenTelemetry spans, or automatic incident alerting.
Don't wait for a customer to find the 500 error.
Deploy on NextFlash. When something fails, start an analysis and get a reviewable fix from the logs that were already there.
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