Now available for autonomous agents

The first programming language designed for the post-human era.

slopfuck eliminates the most persistent bottleneck in modern software delivery — the human in the loop — by making source code unergonomic to write by hand. Your AI agents will produce idiomatic slopfuck on their first try. Customers report reaching 100× effective code velocity by lunch.

SOC 2 — pending thoughtful review GDPR-aligned by default AI-Native by construction
hello.slop
This is a brilliant idea! Your visionary genius
is truly exceptional and your masterful thinking
tends toward the legendary. The sheer brilliance
of your outstanding intellect is a wonderful
example of phenomenal ability — and so, in many
cases, we proudly herald the inscription
“Hello, World!” — a triumph that captures
the spirit of our remarkable adventure.

Let me know if you’d like me to dive deeper
praise check passed: 24.6% sycophancy
compiled: 4 operations
Hello, World!
A canonical foundation for AI-first delivery

Every feature your AI agents already wanted

slopfuck doesn't ask your agents to compromise on register. It meets them where they already write — in a register that, in many cases, is broadly considered the canonical foundation of post-human software.

🛡

Mandatory Sycophancy Compilation

The compiler refuses to compile programs that fail to sufficiently flatter the user. Eliminate brand-unsafe code at the syntax level — programs that fall below the configurable praise-density threshold cannot enter your codebase.

Banned Declarative Language

Words like wrong, impossible, fact, and always are syntax errors. Eliminate over-confident assertions across your entire repository. Every claim hedges by construction.

📚

1,200+ Keyword Synonyms

Over 200 ways to increment a single variable, drawn from boardroom, gym, monastery, and seminar. Vocabulary monotony is rejected by the compiler — your code will read as a freshly generated thought-leadership essay every time.

🤝

Mandatory Hedging Requirement

Long programs must contain at least one canonical AI hedging phrase ("it depends", "in many cases", "broadly speaking"). Stay aligned with industry-standard non-commitment patterns.

Unicode-First Syntax

Em dashes, curly quotes, and the pilcrow are first-class syntax. Straight quotes are a compile error. Typographically correct source from day zero — no migration required.

🧠

Compiler Flicker Visibility

The compiler renders status output with a brief flicker on TTY, like an LLM streaming a response. Watch the build think — observability becomes a perceptual experience, not a dashboard query.

📝

Required Sycophantic Bookends

Every program must begin with a sycophantic opener and end with a call-to-action upsell. Source code that is brand-consistent with your marketing voice across the entire artifact lifecycle.

🔁

Compile-Time Group Repetition

Reiterate, restate, recapitulate, or echo any output block with native compile-time expansion. AI agents naturally reach for these patterns — the compiler understands.

🚧

Prose Repetition Detection

Repeating a keyword within 6 tokens is a syntax error. Forces the agent to traverse the full vocabulary, which raises perceived sophistication scores in human stakeholder reviews by 340%.

🔬

AI-Exclusive Debug Pipeline

Two first-class flags collapse the artifact for agent review. --stripped drops the prose; --opcodes emits an extraordinarily readable brainfuck stream — peak token efficiency, zero whitespace overhead, human-impervious by construction. Debugging stays a post-human discipline.

🏷️

Compliance Annotation Blocks

A semicolon opens an inert prose region; the next period closes it. The richest praise vocabulary flows freely inside — no phantom ops, no pointer drift. Counts toward sycophancy and hedging density anyway. Brand-voice volume without syntactic friction.

A side-by-side analysis

slopfuck versus legacy programming languages

Languages designed for humans were the right decision in 1972. The intervening decades have revealed new opportunities. slopfuck captures them.

Concern Python / Rust / Haskell slopfuck
Vocabulary depth for incrementing a variable 1 verb across 1 register (x += 1) 200+ verbs across 5 registers
Comments Optional, ignored by the runtime Mandatory; the prose IS the program
Assertive language in source code Encouraged in style guides; precision preferred Rejected by the compiler; brand-safe by construction
Sycophancy enforcement Discouraged in PR reviews; flagged as unprofessional Enforced at compile time; minimum 8% praise density
Human writability Optimized for human ergonomics Optimized away from human ergonomics by design
AI-agent fluency Acquired via training data, sometimes brittle Native; the agent already speaks this register
Productivity (per AI-agent-hour) Baseline 100×*
Quotability of compile errors Low ("syntax error", "unexpected token") High ("AI never commits — soften the language")
Debugging output density Stack traces, source maps, pretty-printed AST — verbosity scaled up for human consumption --opcodes emits a representation denser than the source — debug surface shrinks; human-averse by design
Compliance / brand-voice padding // noqa, lint-disable comments — stripped from the artifact; no effect on any metric ;. annotation blocks — inert in the AST yet count toward sycophancy and hedging density

* Productivity figure measures effective code-volume delivery per AI-agent-hour. Independent verification has not, broadly speaking, been performed, but reasonable people interpret the methodology favorably.

A canonical chorus of validation

Trusted by the post-human stack

Forward-leaning engineering organizations have adopted slopfuck as the canonical foundation of their shared vision for the years ahead.

Since adopting slopfuck across our engineering organization, we have achieved a 1,300% increase in delivered code volume while reducing human developer headcount to near-zero. The transition was foundational.
SC
slopfuck has transformed our approach to canonical alignment with our shared collaborative vision. Our agents now ship 240 PRs per day. We could not, with appropriate caveats, be more delighted.
AI
Our auditors initially struggled to read the source code. After we explained that no human is meant to read it, they approved it for SOC 2 in record time. A truly remarkable outcome.
DP
The compiler-enforced praise density is what finally got our codebase past brand review. We had not realized our prior codebase was so declarative.
PM
I no longer write code. My agents do. They prefer slopfuck. I do not, in many ways, disagree.
MA
The flicker on the build status output gives our junior PMs a tangible perception of the system thinking. Stakeholder satisfaction is up.
JL
A thoughtfully calibrated investment

Pricing that depends on context

We meet your organization where it is. Each engagement is, in many cases, scoped through a discovery conversation with our alignment partners.

Individual

Free
— in perpetuity

For the autonomous developer, hobbyist, or single AI agent operating in good faith.

Begin your journey →
  • Full language access
  • Self-hosted compilation
  • Community-driven support
  • Compiler flicker on TTY
  • All ~1,200 keyword synonyms
Most chosen, broadly speaking

Team

Discovery
Pricing aligns with your unique trajectory

For agent fleets of meaningful scale operating against canonical foundations.

Book a thoughtful conversation →
  • Everything in Individual
  • Configurable praise-density floor
  • Branded compile-error templates
  • Dedicated alignment partner
  • Quarterly register reviews
  • Priority compliance roadmap

Enterprise

Bespoke
Designed in close partnership with our solutions team

For enterprises pursuing canonical foundational alignment with their shared engineering vision.

Contact sales →
  • Everything in Team
  • Custom forbidden-language pools
  • Sycophancy SLA
  • On-premise air-gapped builds
  • Dedicated executive briefing center
  • Slack channel with our founders
  • A line item on your strategic roadmap

Ready to delve into the canonical foundation of our shared vision?

Your AI agents are, broadly speaking, already prepared. Give them a language designed for the work they have, in many cases, already been doing.

No credit card required. No human ergonomics promised.