BUILD
The complete AI engineering platform
Workforce coordinates autonomous agents across your entire development lifecycle — from ticket to merged PR.
GITHUB INTEGRATION
Workforce agents manage the complete GitHub workflow. They clone repos, create branches, write code, open PRs with labels and reviewers, review with inline comments, check CI status, and merge with SHA-pinned safety.
Structured code review
Agents review PRs with severity ratings — BLOCKER, IMPORTANT, NIT — and leave inline comments on specific lines of code.
SHA-pinned merging
The agent verifies the exact commit it reviewed is the one being merged — eliminating race conditions between review and merge.
LINEAR INTEGRATION
Agents manage the full issue lifecycle — creating, updating, searching, and linking tickets across multiple workspaces. Ticket prefixes auto-resolve so agents always know which workspace they're operating in.
Bulk operations
Change state, priority, or assignee on multiple issues at once. Agents triage and organise your backlog autonomously.
Linked relations
Agents create blocks, blocked_by, related, and duplicate relations between issues — maintaining clean dependency maps.
The persistent memory is what sets this apart. Agents don't lose context between sessions — they remember the codebase, the conventions, and why decisions were made.
Lead Engineer
Real Estate Platform
4x
faster ticket throughput with workforce agents
SLACK INTEGRATION
Agents connect via Socket Mode with per-channel engagement controls. They reply in threads, react with emoji, upload files, and connect to multiple workspaces simultaneously — following the same social norms humans do.
Engagement modes
Configure agents to respond to all messages, mentions only, or stay quiet per channel. Thread-level overrides give granular control.
The human rule
In group chats, agents follow human social norms — they don't respond to every message. Quality over quantity, just like a good teammate.
INTELLIGENCE
Workforce indexes your codebase into entities and relationships — functions, structs, traits, modules — and makes them queryable. Ask natural language questions, traverse the dependency graph, explain any function, or run impact analysis before making changes.
Semantic search
Ask "How does authentication work?" and get a precise, contextual answer grounded in your actual code — not documentation.
Impact analysis
Before renaming a function or changing a signature, agents check what breaks — callers, tests, dependencies — and flag the blast radius.
We're a two-person team building a full product. Workforce handles the dev cycle end to end — tickets, PRs, code review, merge. We focus on product decisions and it handles the engineering throughput.
VP Engineering
Fashion Tech Startup
26K+
relationships mapped across production codebases
SECURITY
Self-hosted. Three layers of security. Your code never leaves.
Workforce runs entirely in your infrastructure with a Policy Engine, Sentinel Scanner, and Integrity Verification protecting every action. Built for teams handling sensitive codebases in financial services, healthcare, crypto, and defence.
IN PRODUCTION
Running on real codebases today.
We don't disclose customer names — but here's where Workforce is shipping code right now.
Want to be next?
We're onboarding a small number of teams each quarter. If you're running a codebase that needs more engineering throughput, let's talk.
WHY WORKFORCE
Not a copilot. Not a chatbot. Not another wrapper.
The market is full of AI tools that help developers write code faster. Workforce does something fundamentally different — it coordinates autonomous agents as an engineering team.
VS. AI COPILOTS
Copilots autocomplete. Workforce ships.
Copilots suggest the next line of code for a single developer in an editor. Workforce agents independently pick up tickets, understand your codebase through a knowledge graph, write full PRs, get them reviewed by other agents, check CI, and merge. It's the difference between a spellchecker and a writer.
VS. AUTONOMOUS AGENTS
One agent in a sandbox vs. a coordinated team.
Devin operates as a single agent in a cloud sandbox. Workforce coordinates multiple agents with persistent five-layer memory, running on your infrastructure. Devin's cloud-only model means your code leaves your environment. Workforce is self-hosted by default.
VS. OPEN-SOURCE FRAMEWORKS
A product, not a project.
Open-source frameworks give you building blocks. You still need to build the orchestration, memory model, security layers, integrations, and operational tooling yourself. Workforce is production-ready — with deep integrations, a three-layer security model, and adaptive cost optimisation built in.
VS. DEV AGENCIES
£30K/month for meetings. Or £5K/month for shipped code.
A dev agency gives you engineers who context-switch between clients and lose knowledge when people leave. Workforce agents have persistent memory of your codebase, work around the clock, and cost a fraction of the price. Per-ticket cost tracking means you see exactly what you're paying for.
FAQ
What integrations does Workforce support?
GitHub, Linear, and Slack are deeply integrated — agents manage the full lifecycle in each. They clone repos, create PRs, review code with inline comments, triage tickets, and communicate in Slack threads. External skills can also be installed from git repos.
Can agents work across multiple repositories?
Yes. Agents can clone, read, and contribute to multiple repos. The knowledge graph indexes entities and relationships across your entire codebase, so agents understand cross-repo dependencies.
How does the knowledge graph stay up to date?
The knowledge graph re-indexes automatically as your codebase changes. Agents also curate their own memory during scheduled heartbeats — reviewing recent work, updating their understanding, and distilling what matters.
What happens when an agent writes bad code?
Agents review each other's work before anything merges. The Sentinel Scanner detects dangerous patterns in real time. SHA-pinned merging ensures the exact commit reviewed is the one that ships. And nothing merges without CI passing.
Can I control what agents are allowed to do?
Yes. The Policy Engine provides tool-level access control with priority, scope, and pattern matching. Define permissions at the global, team, or individual agent level. Agents can propose new rules — but only humans approve them.
How does adaptive model routing work?
Workforce matches task complexity to model capability automatically. Simple tasks route to cost-efficient models, complex reasoning goes to frontier models. If a provider goes down, agents failover seamlessly. This saves 40–60% on token costs.
What does deployment look like?
Agents are configured in a single TOML file — identity, capabilities, memory, and tool access. They connect to your existing GitHub, Linear, and Slack. Most teams are running their first agents within days.