Roadmap
What we're building next
NeuroTerm is under active development. Here's what's coming.
Neuro Sentinel
AI-Powered Log Intelligence
Your terminal watches every session — serial, SSH, and WSL — and tells you what went wrong before you even ask. Sentinel monitors errors in real-time, groups them into incidents, and delivers platform-specific AI diagnoses using your imported datasheets.
dev@buildbox:~$ journalctl -f -u myapp
myapp[1842]: Starting worker pool (8 threads)
myapp[1842]: Listening on 0.0.0.0:8080
myapp[1842]: ERROR: out of memory allocating 65536 bytes
myapp[1842]: ERROR: worker 3 panic - cannot allocate
kernel: [42.001] OOM killer invoked, pid=1842 (myapp)
systemd[1]: myapp.service: Main process exited, code=killed
...
SENTINEL — Cascade detected
OOM killed myapp (pid 1842) after repeated allocation failures. Worker pool allocates 64KB per request without pooling. Set LimitAS= in myapp.service or add memory pooling to worker threads.
Crash Diagnosis
Kernel panics, OOM kills, Guru Meditation errors, stack overflows — across serial, SSH, and WSL. Sentinel explains what went wrong with platform-specific advice.
Error Flood Control
50 identical errors per second? One incident, one diagnosis, one counter. No alert spam, no wasted inference.
Cascade Detection
Heap fails, then WiFi drops, then MQTT dies? Sentinel links the chain and identifies the root cause — not 3 separate alerts.
Boot Loop Detection
Same crash across reboots? Sentinel tracks boot cycles and tells you when the device is stuck in a loop.
Datasheet Context
Your imported docs and datasheets feed directly into the diagnosis. Sentinel cites your reference material, not generic advice.
One-Click Bug Report
Copy a formatted report with crash output, AI diagnosis, timestamps, and platform info. Paste straight into Jira or GitHub.
How it works
Pattern markers catch errors in real-time
Similarity hash deduplicates into incidents
LLM analyzes with platform + datasheet context
One toast, one diagnosis, actionable fix
Cross-platform support
macOS and Linux builds so you can use NeuroTerm on any development machine.
Boot Time Tracker
Measure time between boot stages automatically. Track regressions across reboots. See “Boot: 4.2s (U-Boot: 0.8s, Kernel: 2.1s, Login: 1.3s)” in the status bar.
Real-Time Data Plotter
Detect repeating numbers in serial output and plot them as live graphs. Temperature, voltage, counters — one click to visualize.
Automated Test Runner
“Reboot 100 times and write a report.” Automated repeat testing with AI-generated aggregate reports on success rates, boot times, and failure modes.
Team collaboration
Share connection profiles, macros, and settings across your team.
Want to shape what we build? We'd love to hear from you.