Product Development Lifecycle / Build
From Vision to Production.
Not a single developer with a prompt. A chain of specialized AI agents that enforce engineering discipline at every step. Code generation is 2 of 10 steps — the other 8 are planning, testing, reviewing, and verifying.
The Implementation Environment
Every agent in the Build stage operates inside three pillars that turn a coding agent into a disciplined engineering team.
Intelligence — Prism
Semantic code intelligence gives agents deep understanding of your actual codebase. They find the right code instantly instead of exploring blindly. 40–70% fewer tokens. Millisecond queries across 48 programming languages.
Discipline — Rules as Code
30+ rule files encoding 200+ quality checks. Architecture patterns (functional core, imperative shell), design patterns (factory + strategy), prompt patterns, typed models at boundaries. Plan-driven development with a 10-step gate protocol. No ad hoc coding.
Verification — Review + UAT Agents
CI-integrated agents verify every PR against specs, standards, and business requirements. Smart routing: auto-approve or escalate. Senior engineers review architecture decisions, not semicolons.
Intelligent Context, Not Context Dumping
The industry is loading agents with ever-growing .md rule files — Cursor rules, claude.md, project conventions. The problem: these static files eat context. Our rules and design patterns alone consumed 30K input tokens before a single line of task-specific context was added. Worse, static rules treat every task the same — but in reality, every coding task is different.
Swisper solved both problems.
Rules as MCP.
Instead of dumping documentation into the context window, our rules are served via MCP. The Dev Lead Agent and Architect Agent ask targeted questions about coding standards and design choices — and get precise answers. No more reading pages of rules to find the three that matter.
Precise task formulation
The Dev Lead Agent runs on a frontier model with the time and intelligence to analyze each task individually. It assesses complexity, selects only the relevant rules and context, and formulates a precise coding brief — exactly what the coding agent needs, nothing more.
The result: better code, lower cost
With precise context instead of bloated rule files, more cost-efficient models achieve the same quality as expensive frontier models. The Dev Lead decides per task: what complexity, what model, what rules, what context. Every coding agent gets a sharp brief instead of a haystack.
The 10-Step Gate Protocol
Every feature follows a structured path from branch to merge. Code generation is 2 of 10 steps — the other 8 are planning, testing, reviewing, and verifying. Three workflow modes adapt to scope:
Full Workflow
Multi-file features and refactors. All 10 steps: Branch + TODO → Discover spec & plan → Phase sub-plan → Human approval → Test design review → TDD Red (Docker) → TDD Green (Docker) → File critique → Maintainability review → Refactor & re-test → Definition of done + PR → Phase summary.
Lightweight
1–3 file changes with clear intent. Steps 0, 4, 5, 8.
Skip
Typos, docs-only, formatting. Direct commit.
Key principle
Plan-driven, not prompt-driven. Every line of code traces to an approved plan. Every plan traces to an approved spec. If the spec is missing — the agent stops.
Every line of code traces to an approved plan. Every plan traces to an approved spec. If the spec is missing — the agent stops.
Rules as Code
30+ rule files encoding 200+ quality checks. Your best senior engineer's discipline — codified and applied to every line.
Rules are Markdown files (.mdc) with glob patterns. Agents read them before writing code. The same rules are loaded by the Review Agent for validation. Consistently. At 3 AM. Without burnout.