Prompting is not a workflow. Systems are.
8 weeks. 48 hours live. Stop fighting the same bugs every session. Walk out with a personal operating system — rules, commands, validation gates, and agent orchestration — that makes every feature you ship faster and more predictable than the last.
✓ Live sessions Saturdays & Sundays · 8:00 PM – 11:00 PM WAT · Cohort 1 · Now Open
The tools got better. Most workflows did not. The gap between casual prompting and shipping real systems is wider than people admit.
You ask for a fix, skim the output, paste in half, rewrite the rest. Over a week that is hours of code you discard. The assistant never knows why — so it keeps making the same mistakes.
Your context, preferences, and past corrections evaporate when the chat ends. Tomorrow you are teaching the same rules again. Nothing compounds. Nothing gets sharper.
When code breaks, you patch it manually and move on. The root cause lives in your setup — missing rules, weak validation, no review step — and it will bite again next week. The way out is a system, not another patch.
Start by fixing the core loop. End by running a personal coding organisation with rules, tools, remote agents, and subagents working for you.
Fix the loop. Make progress compound.
Master the plan-implement-validate cycle, lock down project rules and context, build a command library you can chain, and run spec-driven features from a written PRD. By Week 4 you will have a reusable personal baseline.
Scale yourself into a team of one.
Turn validation into automation. Connect your assistant to the tools it needs. Move work onto remote agents that run without you watching. Coordinate subagents in parallel. Graduate with a capstone system you can reuse on every future project.
Every week you leave with a working piece of your personal coding system. By the end, these pieces plug together.
Install the right assistant for your workflow, learn the plan-implement-validate loop, and set up a baseline config you will carry into every repo. The idea is simple: planning up front beats retrofitting fixes after.
Give your assistant the rules a new teammate would need — coding style, framework conventions, testing expectations, non-negotiables. Learn when to pin rules globally versus per project, and how to keep them short enough to stay loaded.
Convert the prompts you retype into reusable commands. Learn the structure of a robust command, how to chain them into multi-step workflows, and when to branch conditionally based on what the assistant found.
Write a tight PRD, let the assistant turn it into a plan, then implement and validate in iterations. Learn why a two-page spec is the highest-leverage artefact you can give an AI coding assistant — and how to keep it from drifting.
Turn human review into an automated pyramid: linters, unit tests, integration checks, and AI-driven code review. Define the exact gates your assistant must pass before it hands work back. Mistakes become feedback the system absorbs.
Connect your assistant to the systems it keeps asking you about: your database, your issue tracker, your deployment platform. Use existing MCP servers and write one of your own for a bespoke internal tool.
Move work off your laptop. Run coding agents in CI, on a VM, or directly against your issue tracker. Let them open draft PRs while you sleep — with validation gates that stop anything half-baked from merging.
Split work across specialised subagents — one plans, one implements, one reviews — with a supervisor making the hand-offs. Present a capstone system: your complete personal setup running on a real project, shipped with evidence.
Standard tools engineering teams actually ship with. No toy demos, no throwaway sandboxes.
Claude Code, Cursor, Windsurf, Cline, Codex-class IDE tools
Model Context Protocol, tool-use schemas, agent hand-offs
Git, GitHub, GitHub Actions, PR review automation
pytest, Vitest, ESLint, Ruff, type checkers, pre-commit hooks
GitHub Actions, cloud VMs, container runners, scheduled jobs
Subagent patterns, supervisor flows, parallel delegation
PRDs, task lists, plan artefacts, acceptance criteria
CLAUDE.md, AGENTS.md, slash commands, chained workflows
VS Code, dev containers, shell tooling, observability helpers
One price. A system you keep. A community that stays active after the cohort ends.
Notes from engineers previewing the curriculum ahead of the live cohort.
"I thought I was already using Claude Code well. The rules and validation sections showed me I was doing about a third of it. My acceptance rate on generated code jumped noticeably in the first week."
"The PRD → plan → implement flow changed how I brief anything, not just the assistant. I write two pages up front and I argue with myself there instead of in the code."
"The MCP module was the one I was least sure I needed and it is the one I now use every day. Wiring the assistant into our database killed half the copy-paste in my workflow."
"Running agents on GitHub Actions felt like science fiction until Week 7. Now I wake up to draft PRs. I review them before coffee and most of them merge."
"My rules folder used to be a junk drawer. Now it is the artefact that turns my assistant into a teammate who actually knows the codebase."
"Subagents week rewired how I think about parallel work. I stopped hand-walking the assistant through every step and started delegating whole slices of the feature."
AI Engineer & Founder, SoftBricks
Ships production AI systems for clients across Africa and Europe. Architect behind StudyMate AI, a full-stack agentic platform running onboarding, moderation, meeting flows, and support automation in production. Uses the same plan-implement-validate loop, rule stack, and remote agent setup you will build in this bootcamp — every day, on real client work. The curriculum is his working method, not a theory lecture.
This bootcamp rewards engineers who already write code and want a better feedback loop. Make sure you see yourself on the left column.
One price. No tiers, no upsells. Everything needed to leave with a working system.
✓ Secure checkout · EMI available at checkout
Enrol today and get immediate access to the recordings and starter pack. Run through your first plan-implement-validate loop before the live cohort begins.
Enroll Now — $399The questions most engineers ask before enrolling.
The live walkthroughs use Claude Code as the primary assistant, with examples in Cursor, Windsurf, and Cline so you can translate the system to whichever tool you prefer. The patterns are assistant-agnostic.
At least a year of writing and shipping code in any mainstream language. The bootcamp assumes you can read a diff, run a test suite, and open a PR. It does not teach intro programming.
Plan for 10–15 hours a week — 6 hours live across Saturday and Sunday, plus 4–9 hours of weekly build work. Most of the real learning happens in the build.
Ideally yes. A real repo you care about makes the rules, commands, and MCP work stick. If you do not have one, a seed project is provided so nobody is blocked on Week 1.
Agentic AI is about building agents that serve your users in production. Agentic Coding is about building a system that serves you while you code. Different audience, different outcome. Many engineers take both.
Every session is recorded and posted within 24 hours. You also get unlimited re-attendance for future cohorts at no extra cost, so any week you miss, you catch live next time.
Yes. EMI is offered at checkout. For any other payment arrangement, reach us at academy@softbricks.ai.
They will. The curriculum is written around the underlying loop — planning, context, validation, orchestration — not one vendor. Unlimited cohort re-attendance is included so you can re-run the curriculum with the new tools each time.