PK Solutions · Resource library
Resources for developers and engineering leaders
Practical guides, prompt libraries, templates and reports on shipping software with AI, all in one place.
13 resources across 5 collections
★ Start here · Flagship course
Agentic Engineering: the hands-on course
Learn to ship real software with coding agents. Six modules of short, interactive lessons, from how agents work to running them in parallel across a team.
6 modules · 24 lessons · ~3.2 h · Free
- 1Foundations
- 2Context engineering
- 3Planning & task design
- 4Verification loops
- 5Scaling up
- 6Agentic engineering in teams
Courses 1
Structured, hands-on courses: short interactive lessons with tracked progress.
Guides 6
Practical, opinionated how-tos for shipping with AI.
The agentic coding workflow: plan, execute, verify
A hands-on guide for developers moving from autocomplete and chat to delegating real tasks to coding agents, with task briefs, feedback loops and review habits.
An engineering leader's guide to building an AI-native SDLC
How to go from individual developers using coding assistants to a deliberately designed lifecycle where agents take part in planning, coding, review, testing and ops.
How to choose an AI code review tool for your team
A vendor-neutral guide for engineering managers: tool categories, evaluation criteria, a 2-week bake-off on real PRs, and a rollout that won't annoy your developers.
Running a developer productivity initiative in the age of AI coding tools
A practical playbook for engineering leaders who must prove AI coding tools improve delivery, covering metrics, baselines, pilots, roles, a monthly scorecard and the pitfalls.
Loop engineering: stop prompting, start building the loop
How to go from prompting a coding agent by hand to engineering a bounded loop that prompts it until a goal is met, with gates, memory, budgets and a runnable bash sketch.
Building AI agents that survive production
A zero-to-production guide for your first AI agent: when to use one, the core loop, tool design, context, guardrails, evals, observability, failure modes, and a launch checklist.
Reports 1
Research syntheses on how teams use AI in practice, with every claim sourced.
Templates & playbooks 3
Copy-ready files and playbooks you can drop into your team today.
AGENTS.md starter for engineering teams
A copy-ready AGENTS.md / CLAUDE.md template that gives coding agents the context they need to work in your codebase.
Prompt library for AI-assisted coding
40 copy-ready prompts for coding agents and AI assistants, grouped by task, from understanding a codebase to debugging, code review, security and migrations.
The coding agent hackbook: 40 techniques to ship faster with AI agents
40 practical techniques for developers who use coding agents daily: context, prompting, planning, verification, parallel work, git safety and team setup.
Tools 2
Interactive tools to assess and plan your AI adoption.
Agent Builder Quest: 10 missions to master AI agent design
Ten gamified missions, one agent design pattern each: from a single tool-calling agent to an evaluated, observable production agent. Earn XP, climb the ranks.
LLM Project Lab: 20 projects to go from first API call to production agent
Twenty hands-on LLM projects in four levels, each with build steps and a starter prompt, to go from your first API call to an agent you can ship.