Build an agentic AI “Reliability Copilot” that supercharges large-scale automated regressions by ensuring rock-solid signal quality and zeroing out flakiness—acting as your tireless pre- and post-run guardian powered by AppStack’s deep application-layer intelligence.
AppStack, integrated seamlessly into this system, delivers context-aware, signature-based visibility into network traffic when paired with Keysight’s Network Packet Brokers (NPBs). It identifies, classifies, filters, and forwards app-level traffic with pinpoint accuracy, piercing beyond Layer 4 for unprecedented signal fidelity in test environments. prior context
Unlike brittle scripts, this AI reasons autonomously like a battle-hardened test engineer—validating benches, triaging chaos, and self-healing workflows to slash downtime and turbocharge your Jenkins/Robot Framework pipelines.
💡 What You’ll Build A production-grade toolchain fusing AI agents with Jenkins and Robot Framework:
🔹 Pre-Run: Readiness Agent (The Ultimate Gatekeeper) • Harvests run intel from Jenkins params (bench ID, topology, build, suites). • Locks benches for exclusivity, probes hardware readiness, and sniffs licensing states (“installing” vs. MIA). • Delivers razor-sharp verdicts: PASS 🚀 / WAIT ⏳ / WARN ⚠️ / BLOCK ❌ backed by irrefutable evidence. 🔹 Post-Run: Triage Agent (Chaos-to-Clarity Engine) • Devours Robot results + logs to autopsy failures, spotting “failure signatures” across runs/benches/builds. • Buckets issues: INFRA/SETUP 💥 / AUTOMATION 🔧 / PRODUCT 🐛 / UNKNOWN ❓ • Hunts false positives (pending licenses, flaky ports, reboot ghosts, bench wars). • Spits out elite reports: • Root cause hypothesis + confidence score • Evidence bombs (logs/links/snippets) • Action playbook: rerun, wait longer, lab ticket, code patch, or bug hunt • Stretch Goal: Auto-drafts bug reports for product gremlins (env details + repro steps; human thumbs-up required). 🔹 Seamless Outputs & Hooks • Drops Markdown/HTML triage masterpieces as Jenkins artifacts. • Blasts summary alerts to chat/email (opt-in). • Warehouses metadata + signatures in a lean datastore for trend-spotting superpowers. Impact Blast: Nukes manual firefighting, crushes regression flakiness, accelerates releases, and unleashes your team for epic innovations. Become the AI wizard behind unbreakable test empires! 🚀
What you will gain:
- Agentic AI systems – tool-using agents that gather evidence, reason, and produce structured decisions
- CI/CD for complex test systems – Jenkins pipelines, artifacts, multi-job orchestration
- Reliability engineering – readiness gates, state machines, retries, timeouts, failure taxonomy
- Python backend development – building services/CLIs for ingestion, analysis, reporting
- Data engineering basics – signature databases, trend tracking, de-duplication, dashboards
- LLM integration – grounded summaries, evidence-based outputs, safe automation guardrails
- Real production impact – a system that directly reduces regression noise and improves QA throughput
Skills required: Python Linux CLKI, bash scripting Familiarity with reading logs / troubleshooting test automation issues REST APIs (requests, auth, polling patterns) Basic knowledge of LLMs / prompt + structured outputs (JSON) Datastores (SQLite/Postgres/Elastic) for run history / signatures
