Systems | Development | Analytics | API | Testing

From 10 Days to Hours: How Delta Financial Systems cut regression testing time with SeaLights

Jamie Avery, Head of Development at Delta Financial Systems, explains how his team moved from multi-day regression cycles to same-day releases, without compromising quality in a highly regulated pensions environment.

AgentSpot HR Use Case - Resolve HR Helpdesk Tickets

New hires always have questions, and waiting on a response slows people down on day one. In this video, we use AgentSpot to build an Employee Policy Helpdesk Agent that pulls from your internal knowledge base and policy pages to answer everyday HR questions accurately, without paraphrasing or guessing. It knows when to escalate to a human and deploys directly in Slack so employees get answers right where they already work.

Guardrails, not gatekeepers: unlock Kafka self-service for developers

The standard approach for Kafka in enterprise environments is to lock it down and have engineers file tickets. Platform teams do that because traditional engineering tools (CLIs, UIs and native ACLs) have no enterprise governance, so you cannot grant access you can scope, revoke or prove later. That’s the Kafka ticket desk: the week is access requests instead of platform work, engineers wait days to ship and Kafka adoption scales only as fast as the ticket queue moves.

AgentSpot for Product - Release Notes Workflow

Watch how AgentSpot builds a Release Notes workflow that checks GitHub every morning for new staging releases, gathers the merged PRs behind them, rewrites the whole lot into benefit-first, jargon-free release notes, and publishes them as a Slack Canvas with a short summary posted to your channel, so your team learns what shipped without anyone hand-writing it. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

AgentSpot for Product - Opportunity Planning Agent

Watch how AgentSpot builds an Opportunity Planning Agent that reads your validation brief in Confluence, queries your GTM and product models in ThoughtSpot for the evidence behind it, weighs the build options against real pipeline and roadmap themes, and publishes a decision-ready brief with a named bet, a priority call, and a now-next-later path, so your next planning cycle starts from evidence instead of opinion.

AgentSpot for Product - Product Discovery

Watch how AgentSpot builds a Product Discovery Agent that reads support tickets, sales calls, Slack threads, CRM notes and product analytics, clusters what customers keep raising into ranked themes, and hands your PMs the pattern, the accounts affected, the evidence behind it and what to do next. What is AgentSpot? AgentSpot is an Agentic Workforce Platform for building workflows that make decisions, take action, and deliver results across every system your business runs on, grounded in your data.

Every AI Agent Needs an Owner | DreamFactory Agent Control Plane

An agent in your stack reads tables and spends tokens. That has to land on a person, a department, a cost center. DreamFactory maps the agent onto an identity you already have: LDAP, OpenID Connect, SSO. Access and cost follow that person.

Stop API Breaking Changes: Schema Contracts Tutorial | DreamFactory

Someone adds a column. Six weeks later a consumer breaks. Schema Contracts are opt-in. Lock a table and you get a versioned hashed snapshot. Two knobs after that. Mode decides what promotes. None means no contract. Auto promotes additive drift and holds breaking. Strict holds everything for review. Runtime enforcement decides if the live API obeys the lock. Off is docs and drift only. Shape response strips extra fields. Strict also rejects writes that name a field you did not publish.

Keep API tests in sync with OpenAPI using Claude Code | SmartBear ReadyAPI

Want your API tests to stay accurate every time your OpenAPI spec changes? See how the SmartBear ReadyAPI MCP Server connects directly to Claude Code, so your API tests stay in sync with your OpenAPI spec without manual rework so you stay apace of change. In this walkthrough, Adrian Minnock, SmartBear Solutions Engineering Team Lead, configures the ReadyAPI MCP Server and connects it to Claude Code from the terminal. The demo also shows how ReadyAPI detects and repairs tests automatically after a spec change, then runs the new suite with ReadyAPI's own execution engine.