Expert engineers and agentic ai collaborate to build better software.

Codira is a native ai development environment where every code change is planned, implemented, reviewed, security-checked, tested, and runtime-verified by a team of specialized ai agents, with every action remaining fully visible, reviewable, and ultimately approved by an expert human engineer before execution.

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The Codira IDE — agents planning a change

Supported models

{ All in one binary }

Codira is not one thing.
It’s seven things, in one binary.

An editor is one of them. The other six are why a single engineer with
Codira can do what used to take a team.

Editor

Native macOS IDE — ⌘P palette, gutter blame, regex find-and-replace, codebase-wide rename.

Orchestration

Nine specialized ai agents: Planner, Implementer, Reviewer, Security, QA, Auditor, Verifier, Explainer, Debugger.

Guards

Five deterministic LLM-free checks. Hallucinated imports, dropped exports, placeholder stubs caught before apply.

Gateway

Multi-provider routing across Claude, OpenAI, DeepSeek, local, enterprise private. BYO key bypasses the meter.

Architect

Visual schema canvas. Pick a format — Prisma, Drizzle, SQL, TypeScript, Markdown — and it generates the file.

Verification

UAT auto-fires after every /plan and /fix apply. Tests the change against the running app, not just the diff.

Standards

Team conventions written down once. Layered into every agent's prompt on every engineer's machine.

One ~7MB download. Seven layers of engineering platform.

Nine specialized agents.
One engineer verified change.

Every change inside Codira moves through a structured pipeline of nine specialized ai agents — each with a single, well-defined role — designed to ensure higher quality, stronger security, and greater reliability before a single line of code is executed.

Plans are expanded, code is written, reviewed, security-checked, tested, audited, runtime-verified, explained, and debugged — all transparently, with the final decision always remaining in the hands of the human engineer.

Expands your prompt into a structured spec — file targets, success criteria, step list. Every downstream agent reads the same spec.

Writes the code. Surgical edits where possible, no destructive rewrites. Submits a diff for review rather than overwriting your file.

Reads the diff against the spec, your code style, and the 5 patch guards. Can demand changes; the Implementer retries (2-round cap).

Scans for committed secrets, injection vectors, unsafe deserialization, and missing authorization checks. Critical findings block the patch.

Proposes test cases that exercise the patch — happy path, edge cases, error states. Runs them if a test command is detected.

Standalone read-only pass on existing code with the Verifier cross-checking claims. The right tool for /audit and "is this safe to merge?" questions.

After Apply, runs an end-to-end smoke check against your live preview: navigate, wait for body, screenshot, capture console errors.

Codebase Q&A and 5-section guided tours with file:line references. The agent you point at an unfamiliar repo on day one.

On test or UAT failure, emits a root cause + execution trace + 2–3 candidate fixes with honest tradeoffs and one-click Apply buttons.

{ Apply with confidence }

One decision. Nine signals.

Before you apply a change, Codira gives you a clear recommendation.

Green means ready. Yellow means apply with care. Red means stop and review.

The Apply Decision Pill combines agent verdicts and deterministic patch guards into one simple signal — so every ai-generated change has a visible, reviewable audit trail.

Ready to apply

Reviewer approved
Security clean
QA satisfied
UAT pass · 4/4 steps

Apply with care

Reviewer approved
Security raised 2 medium concerns
QA proposed 3 tests
Regen guard: 38% rewrite

Don't apply yet

Reviewer requested changes
Security: 1 critical finding
Deletion guard: 3 unjustified removals
UAT failed (2/4 steps)

Apply is never forced.

Codira recommends. You decide.

{ Deterministic patch guards }

Built to catch what ai gets wrong.

Codira does not rely only on another ai model to judge ai output.

Every patch runs through five deterministic guards designed to catch the failure modes that break developer trust — every time, with zero model variance.

deletion

Deletion Guard

Catches code removed without permission.

grounding

Grounding Guard

Catches references to files, symbols, or functions that do not exist.

regen

Regen Guard

Catches unnecessary rewrites and excessive blast radius.

stub

Stub Guard

Catches TODO placeholders, Not Implemented, and other unfinished implementations dressed up as real code.

preservation

Preservation Guard

Catches edits that quietly drop pre-existing behavior the change wasn't supposed to touch.

ai moves fast.

Codira keeps it accountable.

{ Live Canvas }

The ai sees what your users see.

Codira runs your application inside the canvas.

Open the preview. Click any rendered element. Ask for a change.
Watch the request move through the same agent pipeline.

The UAT agent can verify that the app still renders, the workflow still works, and the change actually behaves the way it should.

The Codira IDE — Live Canvas rendering an app

Codira does not stop at code generation.

It closes the loop between intent, code, and runtime.

{ Multi-model by design }

Use the right model for the right job.

Codira supports multiple ai providers and lets you route work by provider, agent, or individual run.

Use one model for planning. Another for implementation. Another for review.

Bring your own API keys or use Codira’s hosted gateway.

No lock-in. No forced provider. No one-model bottleneck.

Your ai stack should work the way your engineering team works.

{ Works with your stack }

Codira slots into the languages, frameworks, and tools you already use.

Your planning agent reads your schema. Your engineering partner writes your framework's code. The deploy pipeline ships to your cloud. No migration. No lock-in.

Languages + ORMs

Frameworks + database

Deploy + editor compat

Built For Your Stack

{ Team Standards }

Software that learns how your team works.

Generic ai writes code that works. Codira writes code that fits.

Three layers of style context feed every one of the nine agents on every call — automatic, team, and personal — so the ai sounds like the team that wrote the rest of your codebase.

auto

Codebase Baseline

Codira scans your repo and learns what your code already looks like — naming, imports, error shapes, file size. No setup. Refreshes on a 30s cooldown as the code changes.

team

Team Standards

A versioned .codira/standards.md you commit to the repo. Every teammate's IDE reads the same file, so the whole team's agents follow the same playbook.

personal

Personal Overlay

Five knobs each engineer dials for their own taste — comment density, naming preference, brevity, test framework hint, doc style. Stays on your machine.

Run /standards once.

From then on, every agent writes code the way your team does.

{ Architect }

Design your stack. Visually.

Architect is Codira’s visual canvas for composing your project’s architecture from a curated palette of frameworks, databases, ORMs, auth, payments, hosting, and observability.

Drag a tile. Drop it on the canvas. Repeat. You build the architecture the same way you’d sketch it on a whiteboard — except this one is the source of truth every agent reads.

Codira Architect — visual stack designer with palette on the left and an empty canvas on the right where dragged tiles compose the project's architecture.

Compose visually

Drag tiles from the palette onto the canvas. Frameworks, databases, ORMs, auth, payments, hosting, observability.

Saved per project

Your architecture lives with the workspace, not in a chat history. Open the project tomorrow — it's still there.

Read by every agent

The Planner respects your stack. The Implementer writes idiomatic code for it. The Reviewer flags drift away from it.

Your codebase has rules.

Now your ai does too.

{ Time Machine }

Every ai change becomes a checkpoint.

Codira creates a git-backed checkpoint every time a patch is applied.

Browse your ai change history. See what changed. Revert with one click.

When someone asks, “What did the ai change yesterday?” Codira has the answer.

This is how ai development becomes auditable.

{ Editor essentials }

The chrome you’d want even without the agents.

The agent pipeline is the headline. The editor underneath has to feel right on day one.

Keyboard-first. Fast. Familiar. Codira ships the IDE muscle-memory you already have.

⌘P

Command Palette

Fuzzy file-open over the entire workspace. VS-Code muscle memory; sub-200ms cold walk on a 5k-file repo.

⌘⇧R

Rename across the codebase

Whole-word, case-sensitive find-and-replace with a per-file preview and atomic per-file writes. Pre-fills from the selection or word at cursor.

Blame

Git blame in the gutter

Per-line author and age in the editor margin; hover for the full commit. Working-tree edits surface as Uncommitted instead of misattributing.

Aa .*

Find & replace with regex

Case-sensitive, whole-word, and full regex toggles. Replace All shows the old → new substitution inline before you commit it.

Paste

Image-to-code

Paste a Figma frame or screenshot into the Composer; the planner auto-routes to a vision-capable model and builds from what it sees.

/migrate

Coordinated multi-file flows

Slash commands like /migrate and /explain wrap the planner with the right preamble for codebase-wide refactors and Q&A.

An ai IDE without a real editor is a demo with a text box.

{ Workspace intelligence }

Codira reads your project before you ask it to.

A planner is only as good as its context. Codira gathers that context for you — automatically, on open, and continuously as the workspace changes.

Schema. Dependencies. Fresh web facts. All in the planner’s prompt before it starts thinking.

Schema auto-load

Open a Prisma, Drizzle, SQLAlchemy, or Django project — Codira parses the source and populates the Architect schema canvas before you type a single message.

Drift detection

Schema and manifest changes fire a non-blocking toast surfacing the diff. New tables and new dependencies never slip past unnoticed.

@web in chat

Type @web <query> to fold fresh web results into the planner's context. No silent tool-calls — you see what was searched and what was found.

Most ai tools wait for you to paste in context.

Codira already has it.

{ Schema }

Design your data model. Visually.

The Schema Designer is Codira’s visual canvas for composing your application’s data model — tables, fields, types, relationships, indexes — without leaving the IDE.

Drag an entity. Drop it on the canvas. Wire it up. The same source of truth every agent reads when planning database changes, writing queries, or reviewing migrations.

Codira Schema Designer — IDE with a palette of entity templates on the left and an empty canvas on the right where entities are dragged to compose a data schema.

Auto-loads your schema

Open a Prisma, Drizzle, SQLAlchemy, or Django project — the canvas is populated from your source before you do anything.

Or compose visually

Drag entity templates from the palette onto the canvas. Tables, fields, types, relations, indexes — defined the way you'd sketch them on a whiteboard.

Sync back to source

Edit on the canvas; click Sync to Source. The splicer writes Prisma blocks in place — datasource, generator, enums, and comments preserved verbatim.

Saved with your repo

Your schema lives next to the code, not in a separate tool. Tracked in git, reviewed in PRs, deployed with the rest.

Read by every agent

The Planner understands your data model. The Implementer writes queries that respect it. The Reviewer catches drift away from it.

Generate full files

Pick a format — Prisma, SQL, Drizzle, TypeScript, Markdown — and Codira emits the file as a reviewable patch you Apply or Reject.

Database design used to be a separate tool.

In Codira, it’s part of the architecture.

{ Team coordination }

Settings that travel with the repo.

The same agent pipeline on every laptop and in every CI run — without anyone needing to remember to flip a switch.

Routing pinned per project. Secrets in the Keychain. Nothing sensitive in git.

Per-project settings

Commit .codira/settings.json to your repo. Per-project model picks and per-slot agent routing — every teammate's IDE (and CI) runs the same config.

Secrets in the Keychain

Per-workspace environment variables live in the macOS Keychain, never in settings.json. Materialized to .env.local on save with the .gitignore guard set automatically.

OAuth tokens, secured

Refresh tokens migrated out of settings.json into the Keychain. Existing installs auto-migrate silently on first launch.

What your team standardizes on should not be a Wiki page.

{ Enterprise-ready ai engineering }

Governance without slowing engineers down.

Codira was built for teams that need speed and control.

Every change is reviewable. Every patch is explainable. Every agent has a role. Every action can be audited.

Teams get

SSO — Google, Okta, Entra
Centralized billing
Audit logs — 90-day retention
Shared Architect workspaces
Team Standards committed to the repo (.codira/standards.md)
Pooled credits across seats
BYO key support
Self-hosted gateway options

Codira gives enterprises ai leverage without sacrificing quality, security, or oversight.

{ Pricing }

Start free for 7 days. Scale when you're ready.

Solo

$14/ month

2,000 credits / mo
2 parallel agents
Architect — 3 projects
Time Machine — 30 days

Get Solo

Stop using ai like autocomplete.

Start using it like an engineering team.

Codira gives professional engineers a structured, auditable, runtime-aware ai development environment — built to ship real software.

One engineer. Nine agents. Infinite scale.