How we build software. Verified at every step.

Prism is Project Assistant’s internal AI development framework — 39 specialist agents coordinated by a single orchestrator, running every feature through mandatory quality gates before a line of code ships.

See how we build
39Specialized AI agents
10,723+Automated tests
220+Requirements implemented
14Active production projects

The Problem

The AI coding crisis no one talks about in their demos

Most AI-generated code looks fine until it fails in production. That’s not an edge case — it’s the default.

  • 45% of AI-generated code contains OWASP Top 10 vulnerabilities. Missing input validation, hardcoded secrets, open API endpoints — introduced silently, discovered expensively.

  • 70% of AI-generated pull requests are rejected during code review, versus ~30% for human-written code. The review burden doesn’t shrink. It grows.

  • 40% of developers spend 2–5 working days per month debugging and refactoring AI-generated technical debt. Faster in, slower out.

  • A METR study found developers thought they were 20% faster. They were actually 19% slower. AI tools make work feel faster while introducing invisible rework.

  • 95% of enterprise AI pilots fail to deliver measurable ROI. The issue isn’t the model. It’s the absence of process.

We built Prism to solve the process problem. Here’s how it works.

How It Works

The pipeline that runs under every project we build

Every feature we build for clients runs through the same structured pipeline. There are no shortcuts for ‘simple’ features. There are no skipped stages when timelines get tight. The gates exist because production failures are more expensive than the time gates save.

1Strategy

Codebase evaluation, architecture analysis, and complexity assessment before a line is written.

2Requirements

Every feature is documented with explicit acceptance criteria and data-testid selectors before implementation begins.

3Requirements Audit

A dedicated auditor agent reviews the requirements document. No implementation starts until status is APPROVED.

4Implementation

Test-driven development with Vitest. Tests are written first; implementation follows the red-green-refactor cycle.

5Implementation Audit

The implementation auditor reviews all code changes. Codex CLI runs automated quality analysis. Must reach 10/10 before testing.

6Testing

Playwright E2E tests for every user-visible change. 100% pass rate required — partial passes are not accepted.

7Pull Request

PR created via Bitbucket API after all gates pass. Pipeline checkpoint verification runs before the branch is submitted.

Quality gates are not optional. There are no flags to skip them. No ‘docs-only’ exceptions. No ‘pre-existing issue’ carve-outs. Code that fails an audit gets fixed before it ships.

The Agents

Specialists, not generalists

Each agent is purpose-built for a single responsibility. The orchestrator coordinates them into a pipeline that enforces quality at every stage.

RQ

Requirements

Requirements author

IM

Implementation

TDD code generation

AU

Auditor

Code review and QA

TE

Testing

Test execution and validation

RA

Requirements Auditor

Requirements review

RC

Requirements Codex

Codex-optimized requirements

Showing 6 agents

By the Numbers

These numbers come from actual projects, not benchmarks

3,500+commits in 30 daysOne developer. Production-grade code.
10,723+Automated tests
220+Requirements implemented
14Active production projects
75Slash commands
17Codex scripts
8Deployment platforms

Ships Anywhere

One framework. Eight deployment targets.

Ship to any infrastructure, any cloud, any stack.

Cloudways
DigitalOcean
Railway
Vercel
Supabase
Portainer
Bitbucket Pipelines
Docker

Not Vibe Coding

The difference is process, not model

Typical AI Coding

Generates code in one shot

With Prism

Multi-phase pipeline with gate enforcement

Typical AI Coding

No verification process

With Prism

Requirements audited before code is written

Typical AI Coding

Developer checks manually

With Prism

Codex CLI validates every implementation phase

Typical AI Coding

Context lost between sessions

With Prism

Cross-project memory and pattern detection

Typical AI Coding

Ships when “it looks right”

With Prism

Ships when 100% of tests pass

Typical AI Coding

No audit trail

With Prism

Full audit trail at every stage

Every Project Gets

Transparency you can show clients. Documentation you can maintain.

Full audit trail

Every decision, every audit, every PR. Timestamped and committed.

Requirements you can review

Plain-language REQs in docs/requirements/. No black box.

Compliance-ready records

Implementation and audit reports at every stage.

Context that persists

Cross-session memory means the next feature starts informed.

Technical Deep-Dive →