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InSitu is an AI on-call agent that places read-only probes on running production code to capture exact variable state at the moment of failure, without a redeploy or restart.
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AI SRE and incident tooling
Coding agents in production
Integration and API failures
Production debugging and RCA
Runtime state and performance
Latest articles
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How to let engineers debug production when SSH access is not allowed
Nov 2, 2026
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8 min read
useinsitu.com
Integration and API failures
Why root cause analysis takes so long across teams
Nov 1, 2026
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10 min read
Recommended
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Should you let AI agents access production? The read-only boundary to require first
Oct 29, 2026
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8 min read
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How to debug production when you cannot store customer data
Oct 28, 2026
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8 min read
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MTTD vs MTTR when the failure never raises an error
Oct 26, 2026
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8 min read
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Where backend teams lose hours in a production incident
Oct 24, 2026
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10 min read
AI SRE and incident tooling
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useinsitu.com
AI SRE and incident tooling
MTTD vs MTTR when the failure never raises an error
MTTD measured from alerts hides silent failures that run for days. Learn how MTTD differs from MTTR, how to measure detection from true onset, and how to shrink both.
Oct 26, 2026
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8 min read
useinsitu.com
AI SRE and incident tooling
Best tools for root cause analysis of intermittent 500 errors
Compare root cause analysis tools for intermittent 500 errors, including APM, tracing, error monitoring, and AI SRE platforms. Find the right fit for your stack.
Sep 16, 2026
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10 min read
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What is Dynamic Instrumentation?
Sep 14, 2026
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10 min read
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How an AI SRE differs from the APM you already run
Sep 4, 2026
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8 min read
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What is an AI SRE
Sep 4, 2026
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8 min read
useinsitu.com
Best AI SRE tools for 2026 (and how to actually evaluate them)
Sep 2, 2026
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18 min read
Coding agents in production
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Coding agents in production
Should you let AI agents access production? The read-only boundary to require first
Should we let AI agents access production systems? Yes, behind a read-only boundary enforced below the model. What that boundary must include, with a staged trust model and checklist.
Oct 29, 2026
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8 min read
useinsitu.com
Coding agents in production
How to debug production when you cannot store customer data
A practical ladder for debugging production under GDPR, PCI or HIPAA limits: aggregates, hashed references, scoped debug flags and redacted line-level captures.
Oct 28, 2026
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8 min read
Integration and API failures
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Integration and API failures
Why root cause analysis takes so long across teams
Root cause analysis in software stalls at team boundaries: green dashboards, unowned seams, mismatched evidence, access gates. See the data and three fixes.
Nov 1, 2026
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10 min read
Production debugging and RCA
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Production debugging and RCA
MCP servers for debugging production and what each gives an agent
Compare Claude Code MCP servers for production debugging, including Sentry, Datadog, PagerDuty, Honeycomb, Grafana, and debugger MCPs, plus their evidence gaps.
Sep 20, 2026
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10 min read
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Production debugging and RCA
How to Capture a Variable That Was Never Logged
Learn how to capture variables in code when nothing was ever logged, from print statements and debuggers to production-safe dynamic instrumentation.
Sep 16, 2026
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10 min read
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How to inspect a live production variable without adding a log line
Sep 9, 2026
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10 min read
Runtime state and performance
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Runtime state and performance
How to Reduce Mean Time to Resolution on a Backend Service?
Learn how to reduce MTTR on a backend service by measuring diagnosis, avoiding information-only redeploys, and confirming root cause with evidence.
Oct 21, 2026
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8 min read
More articles
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What is MTTR, and which version should your team track?
MTTR can mean repair, recovery, respond, or resolve. Learn what each version measures, how DORA redefined it, why the mean misleads, and which one your team should track.
Oct 23, 2026
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8 min read
useinsitu.com
Best debugging tools for production, by what each one can see
Compare logs, APM, tracing, error tracking, profiling, debuggers and dynamic instrumentation by what each sees and misses in a production failure.
Oct 22, 2026