GitHub

Deep research that finds primary sources with named individuals, community sentiment from Reddit/HN/X, and news coverage. No summaries of summaries — actual quotes with URLs.

Debug microservices by enforcing end-to-end correlation (trace IDs, request IDs) and systematically locating propagation breaks or sampling gaps.

A personal, local-first AI assistant that automates small daily tasks—organizing files, setting reminders, and monitoring system events—without touching sensitive data or taking risky actions without your approval.

When caching speeds CI but occasionally causes confusing failures, this recipe introduces safe cache keys, cache-busting rules, and a controlled recovery flow.

Quarantine known flaky tests into a separate lane so they don't block merges, while preserving visibility and enforcing a fix-by deadline.

Provide a consistent workflow for resolving merge conflicts and preventing recurring conflicts via smaller changes, frequent integration, and safer branching practices.

Prioritize vulnerability alerts by exploitability and production impact, reduce false positives, and establish an SLA-based remediation workflow.

A practical approach to secrets across local dev, CI, and production: avoid committing secrets, reduce copy/paste, and use safer injection patterns with clear developer ergonomics.

Detect drifting documentation (broken links, wrong setup steps, missing prerequisites) by testing docs as code and filing fix PRs/issues automatically.

Ensure logs, traces, and error reports share correlation IDs so debugging doesn't require "grep archaeology." Adds a baseline instrumentation and logging contract.

Turn error-prone manual release work (version bumps, changelog updates, tagging, publishing) into an automated, auditable workflow with human approval gates.

Reduce incident severity by planning roll-forward over roll-back, enforcing backward-compatible database migrations, and rehearsing recovery paths.