Haystack
https://tryhaystack.devThe agent-native control layer for code changes
Haystack helps engineering teams manage the growing volume of AI-generated pull requests. Coding agents make it much easier to produce code, but they also create a new problem: teams now have more changes to review, many of them larger, more frequent, and harder to trust at a glance. Haystack sits on top of GitHub and acts as the control layer for AI-generated code changes. For every pull request, it looks at the codebase, the diff, the agent trace, the author’s intent, and any verification evidence like tests, logs, commands, or screenshots. Then Haystack decides what should happen next: whether the change can move forward, needs fixes, or should be reviewed by a human. Teams use Haystack to keep code moving without turning review into rubber-stamping. It helps them merge more code, focus human attention on the changes that actually need judgment, and maintain quality as AI-generated work becomes a bigger part of development.
Total Open and Closed Positions
Total open positions, and positions newly closed since the previous update
Department Headcount Over Time
Open positions per department · top 6 at any point in the window
Newly Opened and Closed Positions
Position Churn Rate
Positions closed within 14 days of opening · a high rate suggests posting instability — duplicates, pulled listings, or roles filled through internal or off-market channels
Time-to-Fill Distribution
Days from open to close · closed positions only
Salary Trend Over Time
Monthly median base salary · USD · annualized · p25/p75 dashed
Salary Range by Department
Employment Type
Technical vs. Non-technical
Open positions · by department
Top Roles by Department
Seniority Mix
Derived from job title keywords
Equity Range by Department
Top Skills
Top Tech Stacks
Skills Trend
Change in share of postings · recent 3 months vs. prior 3 months
Tech Stack Evolution
Positions opened per month · top 5 technologies