ContentPosts from @sajinbabu16..
Link Xygeni Team
@mashka shared a link, 2 weeks ago
Paid Acquisition and Growth Marketing, xygeni

You don’t have a vulnerability problem. You have a prioritization problem.

Most teams today don’t struggle to find vulnerabilities; they struggle to decide what to fix first. With SAST, SCA, secrets, and CI/CD checks all generating signals, the real challenge is prioritization: what’s actually exploitable, what’s reachable, and what can be fixed without breaking things. Instead of relying only on severity, modern teams are shifting toward risk-based remediation, combining exploitability, context, and stability, while reducing noise across tools and automating safe fixes through PRs. If you’re dealing with alert fatigue or slow remediation cycles, this checklist is a practical starting point → https://go.xygeni.io/ai-driven-remediation-risk-prioritization-checklist

Ai-Driven Checklist
 Activity
@mikeschinkel started using tool SQLite , 2 weeks ago.
 Activity
@mikeschinkel started using tool PostgreSQL , 2 weeks ago.
 Activity
@mikeschinkel started using tool MySQL , 2 weeks ago.
 Activity
@mikeschinkel started using tool Kubernetes , 2 weeks ago.
 Activity
@mikeschinkel started using tool Go , 2 weeks ago.
 Activity
@mikeschinkel started using tool GNU/Linux , 2 weeks ago.
 Activity
@mikeschinkel started using tool Docker , 2 weeks ago.
Link
@varbear shared a link, 2 weeks, 2 days ago
FAUN.dev()

Cracking the Python Monorepo

Outlines a Python monorepo setup that pairsuvworkspaces withDaggerandBuildKitcaching. Builds container stages programmatically. Keeps things cache-friendly and predictable. Parsespyproject.tomland extracts the workspace graph. Copies required local packages into intermediate stages. Installs them in.. read more  

Link
@varbear shared a link, 2 weeks, 2 days ago
FAUN.dev()

Using Rust and Postgres for everything: patterns learned over the years

Rust and PostgreSQL are considered the best tools in the software world due to their performance and reliability. Rewriting a backend service from Go to Rust led to significant improvements in processing speed and memory usage. Using sqlx for database operations and leveraging PostgreSQL features li.. read more Â