[ Tech stack ]
Sentry
The error-observability platform that closes the dev / ops loop.
Sentry captures runtime errors on front, back and mobile, groups them, prioritises them and links them to source code via the offending commit. The result: fewer tickets, bugs fixed at the source rather than at the symptoms.
[ Why Sentry at Dexon ]
What this technology does well,
and why we use it.
Typical usage: Error observability, performance monitoring, release tracking.
- 01
Captures front (JS, mobile) and back (Node, Python, PHP, Go, Java).
- 02
Source maps, release tracking, suspect commits.
- 03
Built-in performance monitoring and profiling.
- 04
Smart alerting: grouping, escalation, Slack integrations.
[ Reassurance ]
- 0+
- custom projects delivered
- 30
- engineers, designers, project managers
- 80 %
- from top French schools
- 24 h
- average reply time
[ Our AI stance ]
AI-augmented approach,
supervised by experts.
We use artificial intelligence as a lever for acceleration and optimisation within our technical processes, while keeping strong human oversight on every strategic phase of the project.
AI improves productivity. It does not replace:
- field experience
- architectural expertise
- understanding business stakes
- technical governance
- complex trade-offs
- cybersecurity
- operational accountability
Our teams act as a layer of validation, quality control, security hardening and steering, to ensure reliable, scalable deliverables that can operate in real-world environments.