Build Your Software Factory
A self-improving system for your SDLC. Ingest continuous signals and deploy production software.
Defining your Software Factory
Model independent, deployable anywhere, and wired across the whole lifecycle. Not a single agent bolted onto one model in one cloud.
No single model leads on every axis. Factory routes each task to the model that handles it best and adopts new ones as they ship. Your workflow does not change when the frontier does.
Claude
Gemini
Grok
Kimi
DeepSeek
Mistral
GPT
GPT-OSS
GLM
Qwen
Llama
Claude
Gemini
Grok
Kimi
DeepSeek
Mistral
GPT
GPT-OSS
GLM
Qwen
Llama
Claude
Gemini
Grok
Kimi
DeepSeek
Mistral
GPT
GPT-OSS
GLM
Qwen
Llama
Claude
Gemini
Grok
Kimi
DeepSeek
Mistral
GPT
GPT-OSS
GLM
Qwen
Llama
+ Any LLM via OpenAI, Anthropic, or custom endpoints
Most agents stop at code. Droids run the full software development lifecycle: triage, planning, execution, review, and release. Every stage draws on the same context, so nothing gets explained twice.
Run Factory where your code already lives: fully managed, in your own cloud, in your data center, or with no external network at all. Every tier runs the same platform under SOC 2, GDPR, and ISO 42001.
The parts of the Software Factory.
Each part is a distinct product surface. Select a layer to see the surfaces inside it.
The execution core of the Software Factory.
From a single agent to multi-day missions.
Synchronous agents
Droid CLI + Desktop
Remote, persistent execution
Droid Computers
Coordinated multi-agent workflows
Automations
Multi-day autonomous runs
Missions
Twelve starting points. Each one is a Droid on a schedule.
Every recipe is backed by a published workflow in the Factory cookbooks. Clone one, tune the prompt, and you have an agent on your pipeline by lunch.
Automated code review
PR reviews with inline comments. P0-P3 severity, deep or shallow depth, custom per-repo guidelines.
Automated wiki refresh
/install-wiki scaffolds a CI job that regenerates your wiki on every push to the default branch.
Security review
STRIDE, OWASP, OWASP LLM, and supply-chain checks on every PR, plus scheduled full-repo audits.
Documentation sync
Keep READMEs, JSDoc, and API references in sync with code changes on a nightly cron.
Lint autofix
Fix ESLint violations across the whole codebase in parallel, opening a PR with the results.
Import organization
Normalize and organize imports across every module, monorepo-safe.
Error message refactors
Make error messages consistent, descriptive, and actionable across services.
Dependency + secret scanner
Weekly cron job: secret sweep, CVE audit, dependency bumps, auto-opens PR with the fixes.
Daily docs + tests
Nightly job that updates docstrings and writes missing unit tests based on the last 7 days of diffs.
License header enforcer
Ensure every source file starts with the expected license header; add or fix where missing.
API contract drift
Compare OpenAPI operations to your TypeScript clients and report any drift between them.
Matrix monorepo analysis
One module per runner via GitHub Actions matrix. Aggregate results into a single PR.
Measure outcomes, not tokens.
Lines, tokens, and PRs opened say nothing about whether you are shipping better software. The Software Factory ties spend to delivered work.
No trust without control
Autonomy scales only when control comes first. The same policy surface that enables agents also constrains them.
Auditable and least-privilege by default
Every action is auditable, least-privilege by default, and secrets never enter context. SOC 2 and ISO 42001.
Humans write the rules
Risk tiers per repo, validation gates, command allow/deny lists, and a full audit trail across every agent action.
Roll out with confidence
Readiness first, incremental rollout, and executive dashboards so leaders can see what agents are doing and steer it.
Real-world results.
Release cycle
6 wks → 8 days
AI test generation and security scanning across 400 microservices.
Major telco
Time to merge
4.2 days → 6 hrs
AI code review for the first pass; compliance findings up 2x.
Global financial services
Incident MTTR
4 hrs → 45 min
30% of incidents auto-resolved before a human was paged.
Enterprise SaaS
Audit prep
3 wks → 2 days
Zero compliance findings across the last 3 consecutive audits.
Healthcare tech
Enterprise scale · 2,700 seats
18x dev velocity
“Droid is performing 50% faster with far higher accuracy.” — Lukasz Bolikowski, Chief AI Officer
Comarch
Release cycle
6 wks → 8 days
AI test generation and security scanning across 400 microservices.
Major telco
Time to merge
4.2 days → 6 hrs
AI code review for the first pass; compliance findings up 2x.
Global financial services
Incident MTTR
4 hrs → 45 min
30% of incidents auto-resolved before a human was paged.
Enterprise SaaS
Audit prep
3 wks → 2 days
Zero compliance findings across the last 3 consecutive audits.
Healthcare tech
Enterprise scale · 2,700 seats
18x dev velocity
“Droid is performing 50% faster with far higher accuracy.” — Lukasz Bolikowski, Chief AI Officer
Comarch
Start anywhere. Connect everything.
Adopt the parts individually or stand up the full loop. The destination is the same: work flows from signal to production autonomously, engineers set intent and manage portfolios of work, and the system improves itself with every cycle.
