Since.dev
Turns API, SDK and model changes into repair PRs for engineering teams
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About
Overview
Since.dev is building self-repairing software for a world that never stops changing.
Modern software depends on APIs, SDKs, packages, and AI models that evolve independently of your code. A service changes its behavior, an endpoint disappears, a model gets retired—and software that worked yesterday can fail without a single commit.
We close the gap between what changed outside your code and what needs to change inside it. Since monitors external dependencies, assesses their impact on your repository, and prepares targeted repairs as draft pull requests. Your existing CI checks the changes, and your team decides what ships.
For AI agents, Since delivers the same change evidence through API, MCP, and webhooks, helping them work from current information instead of outdated assumptions.
Our mission is to make adapting to change a built-in capability of software, so keeping it working takes less human intervention.
At a glance
Since.dev in a Nutshell
Who is it for?
Engineering teams and developers who rely on external APIs, SDKs, packages, and AI models and need to keep their codebase resilient to external changes.
Problem
Software often breaks when external dependencies evolve: endpoints disappear, models retire, or behavior changes occur. Teams must manually track updates and patch code, which is time-consuming and error-prone. This leads to outages, brittle integrations, and increased toil during rapid change.
Solution
Since.dev monitors external dependencies, evaluates their impact on your repository, and generates targeted draft PR repairs. It then lets your CI checks validate the changes, so the team can review and merge only what is ready to ship, keeping software aligned with external evolution.
What makes it unique
Unlike traditional change management tools, Since.dev continuously observes external changes and produces concrete, repair-focused PRs tailored to your codebase. It also provides API, MCP, and webhook delivery for AI agents, ensuring they operate from current information and reduce unnecessary human intervention.
In practice
Use Cases
Detect API endpoint changes
Auto-generate repair PR drafts
Assess model deprecations impact
Validate repairs with CI checks
Deliver updates via webhooks to agents
Keep multi-service apps in sync
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