10xDevs Hub
Permanent, searchable documentation of the method: modules, skills, mechanisms, boundaries and examples.
10XDEVS 4.0 // AI-NATIVE SOFTWARE ENGINEERING
10xDevs 4.0 is a practical five-week program for developers and teams who want to use AI agents in real projects, including existing codebases. You learn to prepare context, plan a change, drive implementation and prove its quality. This page maps the complete method, tools and program outcomes.
One good model response does not scale across a project. The next session forgets the decisions, a new agent scans the repository again, and “done” often means only “code was generated.” 10x Workflow stores context, decisions and quality gates in the repository.

The project map, rules and patterns become shared infrastructure. Every agent starts from the same point.
Research, plan, implementation and review leave a trail on disk. Decisions outlive a single session.
Tests, lint, build and review decide whether the work is finished.
you build an environment where the agent starts with the right context and ends with a verifiable result.
The new generation of tools is only the context. The product is one portable process in which an agent can drive a change end to end while the human retains control through explicit decisions, artifacts and quality gates.
you do not need another greenfield MVP. Bring your previous project or a repository from work and turn it into an environment ready for today’s agents.
10x Workflow joins things that usually live apart: project knowledge, agent instructions, delivery stages, automated verification and continuous repository improvement. Each layer strengthens the next. The Hub is the documentation of this method.
The project describes its structure, risks and good examples. The agent receives only the context needed for the current task.
Recurring tasks become skills with a clear input, output and boundaries, ready for the whole team.
Understanding the problem, planning, implementation and review are not one leap. Every stage leaves its own document or result.
Tests, type checks, the build and project rules decide whether work can continue. An agent’s claim is not enough.
Small iterations select a target from risk evidence and make one safe change at a time.

context → decision → artifact → gate → next decision. The result no longer depends on one long, fragile conversation.
Every part ends with a capability you can demonstrate on your own code. You build a new way of working, from project preparation to safely scaling agents across a team. You are not doing it alone: every week brings a live session with the authors, office hours and the course community on Circle.
15 lessons, 4 sections and a quiz help match the model, tool, permissions, cost and context to the task.
Turn an idea into clear requirements, compact project rules, a change roadmap and a deployment-readiness check.
Move through six explicit stages, from defining scope to saving lessons, with a clear result at every stage.
Select the highest risks, deliberately break behavior and verify that the test detects the problem.
Combine a project map, change history and dependencies to choose a safe modernization path.
Move private instructions into versioned team rules, automated review and a safe execution environment.
Agents can work longer and in parallel, but stop after a failed check and return control to a human.

Every change leaves context, a plan, code, tests and review in the repository. You can resume work, switch models or hand the task over without reconstructing decisions from chat history.

open the Core Skills Chain to inspect the input, artifact, mechanism and boundaries of every stage.
Together they give you three elements needed to adopt the method: a place for guidance, workflow delivery into the repo, and evidence-based model comparison.
Permanent, searchable documentation of the method: modules, skills, mechanisms, boundaries and examples.
Delivers and updates rules, commands, skills and resources without manually copying fragments across projects.
Compares models on the same production task, including the result, code and final product image.

10x Workflow was introduced in edition 3.0. In 4.0, you use its expanded version, adapted to today’s tools, longer-running agent tasks and parallel work.

LEARNER VOICES // REAL PROJECTS
These voices come from the public 10xDevs website and project submissions in 10xForge. They show how the workflow performed at work and in personal products. Quotes remain in their original language.
FEATURED STORYPo ponad 10 latach jako programista wraca przyjemność z programowania.
„Na dzień dobry w pracy rzeczywiście poczujesz różnicę.”
„Jestem w stanie (…) zmierzyć się z problemami dużo większymi.”
FROM PROJECT SUBMISSIONS
Nauczyłem się konfigurować środowisko tak, żeby AI pracowało dla mnie, a nie na odwrót.
Evidence inside · start with these pages
The complete Hub 4.0 map
10x Workflow is an original, maintained system. It draws on patterns known from the tools below — isolated agent environments, spec before code, prepared context — and combines them into one portable process: a simple flow for most changes and specialist skills for quality, legacy, teamwork and controlled autonomy.
Coordinates many agent tasks and isolated working environments.
10X WORKFLOW10x Workflow adds a portable method, shared documents and quality checks that work beyond one tool.
Helps agree on a change specification before an agent writes code.
10X WORKFLOW10x Workflow extends that scope with repository discovery, implementation, plan compliance, quality and teamwork.
Provides an application foundation with prepared context and rules.
10X WORKFLOW10x Workflow applies that principle in a process independent of domain, framework and programming language.
Compare the scope and working model of each system. Every named project develops independently.
The program is universal and stack-independent. You do not need to be a full-stack expert: commercial experience and solid knowledge of your own specialty — backend, mobile or data, for example — plus experience working on a real product are enough. It teaches the layer above: how to prepare the project and process so an agent becomes a predictable participant in engineering work.
You use agents, but results vary, sessions drift, and fixing generated code consumes the promised productivity gain.
You need shared rules, repeatable review and a way to move team knowledge into the agent environment.
You do not want to pay the repository-discovery cost on every task. Context, skills and gates should work for everyone.
this program is for people with commercial experience, but you do not need expert frontend and backend knowledge at once. If you know your specialty well and want to build your own repeatable workflow, you are in the right place.
The program takes you through a complete change on your own code: project preparation, the Core Skills Chain, tests, review and a shared team standard.
Check the program scope, working format, requirements and current enrollment terms.
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