McKinsey

Certified AI Partners is an AI consulting company that serves as an outsourced AI department for businesses, particularly companies with more than $10 million in annual revenue. It begins with an AI Opportunity Assessment that maps real workflows by interviewing the people doing the work, identifies bottlenecks and repetitive tasks, and ranks potential projects by hours and dollars. The company then builds automations, AI agents, and dashboards, trains the client’s team, and reports monthly results through an ROI dashboard. Its stated engagement model covers strategy, implementation, enablement, and proof of returns, with implementation organized around a 90-day plan.

Agent Skills is an open-source collection of engineering workflows for AI coding agents, developed by Addy Osmani. It packages senior-engineering practices into skills covering the development lifecycle: defining specifications, planning, incremental implementation, testing and debugging, constraints, code review, web-performance auditing, code simplification, and shipping. Slash commands such as /spec, /plan, /build, /test, /review, and /ship activate the corresponding workflows, while skills can also activate automatically based on the work being performed. The /build workflow can generate a plan and implement its tasks in an approved pass, while retaining test-driven verification, individual commits, and pauses for failures or risky steps. It can be installed with the skills CLI or integrated into supported coding agents including Claude Code, Cursor, Codex, Copilot, and Cline.

The Agentic Scientist is an open-source AI research pipeline from Sakana AI that uses coding agents to turn a task description into experiments, ablations, evaluations, analyses, and a paper. Its six main phases are task drafting, investigation, ablations, sealed final evaluation, post-hoc analysis, and paper generation. During investigation, agents propose ideas, implement and run experiments, evaluate results against a task rubric, and iterate; later phases compare baselines and ablated variants, rescore the winner in a sealed environment, analyze run artifacts, and write and compile the manuscript. Runs are stored in a structured results directory, can be resumed or inspected through a local web interface, and can drive several agent CLIs and models. The recommended setup runs agent phases in Docker; the repository warns that agents receive full tool permissions, can execute arbitrary commands, and inherit supplied API keys, so runs should be isolated and tasks and sources should be trusted.

Cursor is an AI-powered coding agent and integrated development environment designed to accelerate software development by handing off coding tasks to AI. It evolved from an email client into a multimodel development tool, supporting broader developer workflows. The platform also offers MCP-connected capabilities for tasks like searching and editing notes.

Evo by Snyk is a security and governance platform for AI-native applications, agentic development, and AI systems. It provides continuous visibility, governance, testing, and real-time control across the AI software lifecycle. Its Agentic Development Security capability discovers models, agents, MCP servers, datasets, plugins, tools, and services used by agents across repositories; generates an AI bill of materials; applies policy and guardrails to agent actions; and validates AI-generated code before it reaches repositories, pipelines, or production. Its Continuous Offensive Security capability autonomously stress-tests applications and AI systems like an adversary, with agents coordinating reconnaissance, vulnerability hunting, exploit validation, remediation, and reporting, and an independent validation model intended to confirm exploitability before reporting findings. Testing is intended to run on code changes and pull requests.