Eidetix converts incidents and debugging history into constraints applied to every code change.
Reviewer: "LGTM! Ready to scale up."
Result: Database deadlock under load (Repeat of Oct 2023 outage)
warning Constraint Detected
Changing max_connections
to >
150 triggers resource exhaustion on legacy shard nodes.
Learned from: Incident #842 (Memory Leak in Shard
V2)
Action: PR Blocked. Adjust node memory first.
Every incident, migration, rollback, and failed experiment reveals constraints: services tightly
coupled, incompatible versions, config failures under load, broken architectural assumptions. Most teams
lose these lessons.
Eidetix turns them into a persistent context
layer for your development system - so every future change benefits from what the system has
already learned.
Same failures reappear across incidents
Infrastructure blind spots aren't fixed globally; they're hit again by different teams or services.
Constraints are rediscovered instead of reused
Hard-won architectural knowledge stays as tribal knowledge, forgotten as soon as the Slack thread scrolls up.
Decisions are not preserved beyond the moment
Why was this rate-limit set? Without persistent system context, you risk breaking it during the next "optimization".
"None of these are connected at decision time."
Eidetix turns engineering activity into system context. Not logs. Not documentation. A structured understanding of fixes, constraints and decisions - applied to future changes.
Unlike search tools, Eidetix doesn't just index information - it learns from how your system actually behaves.
Building system understanding from your team's real output.
Learns the "why" behind changes from AI debugging sessions and IDE activity.
Captures architectural limits and trade-offs discussed across team channels.
Connects learned context to the exact code paths that solve or trigger them.
Passive ingestion of constraints from incidents, PR comments, and AI debugging trails across your stack.
Activity is converted into a structured context graph of learned behaviors and architectural limits.
Surface system context directly in PRs and IDEs to prevent repeat failures at the point of change.
Automatically flag changes that violate previously learned constraints. Stop repeat outages before they ever hit production by intervening at decision time.
Instantly see the history of a specific system constraint before you modify a config value or service boundary.
Apply system context from one service's failure to prevent identical issues in new projects or languages.
Maintain a live catalog of architectural constraints and decisions, generated automatically from real engineering work.
Only relevant debugging context is captured - not raw logs
Built with design partners handling real production systems
Context layer for engineering debugging
Context across your entire stack
Agents that use this context to debug and prevent issues
To ensure Eidetix integrates perfectly into high-performance engineering cultures, we are currently onboarding teams as design partners. You’ll get direct influence over the roadmap and early access to core features.
Best suited for:
2 design partner slots left this quarter