Stirling-PDF vs HashiCorp
Side-by-side trajectory, velocity, and editorial themes.
Stirling-PDF deepens real signing and lays MCP groundwork on a fast V2 cadence
Stirling-PDF is in a heavy release cadence on its V2 line, alternating substantive minors with rapid hotfixes. The last month shipped desktop hardware-token signing (PKCS#11/smart-card and OS cert stores), a work-in-progress MCP page, JDK 25 enforcement, and large merge-memory improvements, punctuated by Postgres and desktop-signing hotfixes.
Two threads stand out: deepening real document signing (hardware tokens, shared signing, cert-store integration) and laying agent-facing groundwork via an MCP page and automation-oriented backend work. The team is also steadily reworking the V2 file-management UI that users found clunky. This is a self-hosted PDF tool maturing toward serious signing and automation use.
Expect the MCP page to move from WIP toward a usable agent interface, and the signing feature set to broaden beyond desktop-only.
HashiCorp pushes an infrastructure graph and Boundary 1.0 while reorienting around AI-agent access
HashiCorp is layering two moves on top of its IaC and secrets core: a graph-based source of truth for sprawling multi-cloud estates, and a steady buildout of access control for AI agents. Boundary reached 1.0 with session recording, Vault and Boundary both shipped agent-security previews, and HCP gained SCIM provisioning. The through-line is governing who — and increasingly what — can touch infrastructure.
Terraform is being repositioned from provisioning tool to system-of-record via Infragraph, while Boundary and Vault extend privileged access from humans to autonomous agents. The AI-agent framing recurs across nearly every release, suggesting HashiCorp sees agent access as the next control-plane contest. Expect the graph and the access layer to knit into a single governance story.
Likely next: Infragraph moving from limited to general availability, and more concrete Vault and Boundary primitives for scoping and recording AI-agent sessions.
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