1. **Analyze the Request:** * **Role:** News summarization expert. * **Task:** Summarize the provided article concisely. * **Length:** 2-4 sentences. * **Content:** Focus on the most important information. * **Constraints:** Do NOT copy-paste, do NOT simply restate the title, add new information beyond the title. * **Language:** English. * **Input:** Title and a very brief description/snippet (Source: hackernews). *Wait, the input "Article Text" is just the title repeated.* This is a tricky situation. The user provided the title and the text provided is essentially just the title again. 2. **Analyze the Input Data:** * **Title:** FlowEasy – CI/CD with auto-heal AI, MCP server, and built-in DevSecOps * **Article Text:** FlowEasy – CI/CD with auto-heal AI, MCP server, and built-in DevSecOps * **Context:** The user is asking for a summary of an article where the text provided is just the title. * **External Knowledge (Crucial Step):** Since the provided text is just the title, I cannot "summarize" the article based *only* on the provided text if I strictly adhere to "Do NOT simply restate the title." However, usually, in these scenarios, the AI is expected to infer or retrieve details if the context implies a specific tool known in the tech space (HackerNews usually implies a specific tool launch). * **Search/Knowledge Retrieval:** Does "FlowEasy" exist as a real product with specific details to flesh out a summary? * *Self-Correction:* As an AI, I shouldn't hallucinate features if I don't know them. But often, these prompts
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Your pipeline broke. AI already fixed it. FlowEasy generates secure CI/CD pipelines, scans every deploy for vulnerabilities, and when something breaks — Auto-Heal AI diagnoses the root cause and creates a fix PR in under 30 seconds. All manageable from Claude Code, Cursor, or Windsurf. No credit card · 2-minute setup · Free plan forever Integrates with your existing stack For Engineering Teams Less time fighting CI. More time shipping. Stop letting broken pipelines steal sprint capacity. FlowEasy gives your whole team a shared view of every CI/CD run — and lets AI handle the failures before anyone even opens Slack. Shared pipeline workspace Every repo, every run, one dashboard. Your whole team sees the same real-time status — no more "it passed locally" conversations. Team-wide Slack & Discord alerts Route pipeline failures to the right channel. The right people hear about it immediately — no manual polling or tab-checking required. MCP action audit log Every action taken via Claude Code or Cursor is logged — who triggered a rerun, who initiated a rollback, when and from which project. Auto-Heal AI runs for the whole team When a pipeline fails, AI analyzes the logs and opens a fix PR automatically. No on-call rotation needed for CI/CD fires at 2am. Priority support for team plans Dedicated support channel with guaranteed response times. Get unblocked fast — not after a 48-hour ticket queue. Native MCP Integration Manage pipelines right from Claude Code. FlowEasy exposes an MCP server so you can manage your entire CI/CD without leaving your IDE. Ask Claude to analyze a failure, generate a pipeline, or roll back a bad deploy — all in the chat. Add to ~/.claude/mcp.json { "mcpServers": { "floweasy": { "command": "npx", "args": ["-y", "floweasy-mcp"], "env": { "FLOWEASY_API_KEY": "fe_..." } } } } Get your API key from Settings → API Keys after signing in. Also works with Cursor, Windsurf, and OpenAI Codex. Try these prompts inside Claude Code “Use the FlowEasy MCP to analyze my last failed GitHub Actions run on main and suggest a fix.” “Generate a CI pipeline for this repo using FlowEasy, with SAST and dependency scans enabled. Walk me through the steps.” “Rollback the last failed deployment using FlowEasy's MCP and summarize what changed.” 9 MCP tools available: list pipelines, view logs, analyze failures, rerun, rollback, cancel runs, compliance reports, and more. How it works From zero to deployed in three clicks. Connect your repo Sign in with GitHub. FlowEasy reads your package.json and detects your stack, scripts, and test framework automatically. Choose your security gates Toggle the scans you want — from basic lint checks to full DevSecOps with SAST, SCA, DAST, and more. Pick a template or customize. Deploy & relax FlowEasy generates the pipeline YAML, commits it to your repo, and triggers the first run. You get notified when it passes — or when AI fixes it. Pricing Auto-Heal, security scans, MCP. Pick your level of protection. Start free with one repo. Upgrade when your team needs full DevSecOps and AI auto-fix. Developer One repo, one pipeline, zero YAML. See how it works on a real project before committing. $0forever Start Free — Setup in 2 MinutesNo credit card · No trial · Yours to keep - 1 Connected Repository - 5 Pipeline Runs / month - Standard Stacks (Next.js, Node, Python) - Basic SAST Scan (Semgrep OSS) - Vercel Deployments - Community Support Team Full DevSecOps for your squad. Auto-Heal fixes failures before you notice them. $19/ month Start Free, Upgrade When Ready14-day money-back guarantee · Cancel anytime - Unlimited Repositories - 10,000 Pipeline Runs / month - Shared team workspace & dashboard - Full DevSecOps (SAST · SCA · Secrets · DAST) - Auto-Heal AI (auto fix + PR in <30s) - Slack & Discord team notifications - SBOM Generation & Compliance Reports - MCP audit log (who ran what, when) - Priority 24/7 Support Enterprise For orgs that need compliance, access control, and dedicated SLAs. We adapt to you. Custom Talk to UsCustom pricing · Volume discounts available - Everything in Team - RBAC & SSO (coming soon) - Custom run limits & quotas - Audit log & compliance exports - Dedicated support SLA - On-prem / private cloud (roadmap) Not sure yet? Start with Developer — you get a real pipeline on a real repo. Upgrade only when your team needs it. Next time your pipeline breaks, let AI handle it. Auto-Heal diagnoses the failure, generates the fix, and opens a PR — before you even finish reading the error log. Your team ships code. FlowEasy protects it. No credit card · Free plan forever · Zero YAML to write