10 specialized AI agents that turn your ideas into reviewed, tested, deployed software. Sleep is not a dependency.
Frankode's AI coding agents handle planning, execution, quality assurance, UX review, and deployment — autonomously. Describe your idea in plain language and watch an entire team of specialized agents transform it into production-ready software.
PROCESS
Describe your idea via voice or text. The Planner structures your thought into a buildable plan with tasks, risks, and metrics.
Review the structured plan in Linear. One click to green-light execution.
Executor writes code with tests. QA and UX review in parallel. Comments arrive on the PR.
Merge if all gates pass. Release Engineer handles deployment ramps with auto-rollback.
THE TEAM
Each agent is purpose-built for a single responsibility, ensuring depth of expertise and clear accountability. Together, they form an autonomous software development pipeline that plans, codes, reviews, and deploys — without human intervention on the code itself.
Converts fuzzy ideas into buildable plans
Gates quality at every stage
Reviews usability, flows, and emotional design
Writes code in isolated worktrees with TDD
Deep review at high-stakes moments only
Deterministic cost estimation and quotes
Post-merge flag ramps with auto-rollback
Live-fire incident triage and postmortems
Keeps docs in sync with shipped code
Authors and applies cloud infrastructure
10
Specialized Agents
80+
Methodology Skills
24/7
Autonomous Operation
<5min
Plan to Execution
“We shipped a full authentication module in one afternoon. The Planner broke it into 12 tasks, the Executor wrote every file with tests, and QA caught three edge cases before merge.”
Sarah Chen
CTO, BuildFlow
“The UX Reviewer caught a navigation flow issue that our team had missed for two sprints. Having a dedicated agent for usability review is a game-changer for developer-led teams.”
Marcus Rivera
Engineering Lead, Stackline
“Finance agent's cost estimates are within 8% of actual spend. For a team burning through LLM budgets, that predictability saved us from two budget overruns last quarter.”
Aisha Patel
VP Engineering, NovaTech
CAPABILITIES
Unlike single-model AI code assistants, Frankode deploys a coordinated team of specialized agents. Each agent focuses on one domain — from planning to infrastructure — ensuring every aspect of your software receives expert attention.
Speak naturally or type. The Planner structures your intent into a buildable plan.
Living skills organized by role: 16 for Planner, 18 for QA, 15 for UX, 9 for Executor, and more.
Finance and Release Engineering run deterministic math, not language models. Cost envelopes and ramp policies are verifiable.
QA audits product analytics, error rates, and business metrics at 24h, 7d, and 30d post-deploy.
METHODOLOGY
Every agent follows the same foundational methodology, ensuring consistent quality regardless of role or task complexity.
Enumerate all considerations before diving deep. Gaps are structurally visible, not silently absent.
Every high-confidence claim cites concrete artifacts. Uncertain areas are explicitly marked.
Every deliverable passes the same structured review. Verdict is always: pass, needs-detail, or reject.
Missing information is flagged as STUB, MISSING, or N/A with rationale. An honest gap always beats a fabricated answer.
Applied across all roles
FAQ
AI coding agents are specialized autonomous programs that perform specific software development tasks. Unlike general AI assistants that suggest code snippets, Frankode's agents each own a single responsibility — planning, writing code, reviewing quality, testing UX, managing releases — and collaborate as a team to deliver complete features.
Copilot and Cursor are AI code assistants — they suggest code inline while you type. Frankode is an autonomous agent system. You describe what you want built, and the agents plan, implement, test, review, and deploy it. You review outcomes and PRs, not individual code suggestions.
Autonomous software development means AI agents handle the full engineering lifecycle without step-by-step human instruction. You provide the "what" — an idea, a feature request, a bug report — and the agents determine "how" to build it, write tests, run quality gates, and ship through staged deployment ramps.
Each task runs in an isolated Git worktree — agents never touch your main branch directly. The Executor writes code with TDD, the QA agent runs adversarial review, and every change goes through structured review gates before merge.
Most agents run on Claude Sonnet 4.6 for fast, capable execution. The Advisor uses Claude Opus 4.7 for deep review at high-stakes moments. Finance and Release Engineering are fully deterministic — they run math and policies, not language models.
Multiple safeguards prevent bad code from shipping. QA runs structured review gates on every deliverable. The Release Engineer deploys through staged ramps (10% to 100%) with automatic rollback on metric breaches. The SRE monitors post-deploy and triggers replans on regression.
Start with a free trial that includes a $1,000/month LLM budget — no credit card required. The Finance agent provides deterministic cost estimates before each task so you always know what you'll spend.
From idea to deployed software. You brainstorm, the agents build.
No credit card required. $1,000/mo LLM budget included.