AI-native software delivery · Palakkad, Kerala

Intelligence, yoked to intent.

CodeYukta ships SaaS, cloud and mobile products the AI-native way. Our agents draft the specs, code, tests and docs. Our engineers approve every gate. You get software faster, with every decision on record and in your hands.

Turn your idea into a spec → See how we build
Weeks → hours of build effort A human signs off every gate 100% of specs, code and ADRs in your repo
AI agents at work Human approval gates Azure · AWS · GCP · Android · iOS

What AI-SDLC changes

Weeks of effort.
Hours.

Agents draft specs, code, tests and docs in parallel. Our engineers spend their time where judgement matters most: at the gates.

Why AI-SDLC

AI now writes much of the code. We make it safe to ship.

The discipline is simple. Put the specification at the centre of every build, let AI do the heavy lifting, and keep a human on every gate.

Spec-first

Nothing is built without an approved, machine-readable specification. The spec is the source of truth, and it is the input the AI executes.

AI-accelerated

AI agents generate specs, code, tests and docs, compressing weeks of effort into hours across every phase of delivery.

Human-governed

AI proposes, humans dispose. Every AI output passes a human review gate before it advances, so quality stays owned by people.

The difference

Drag the line. Watch delivery change.

CodeYukta AI-SDLC

The constitution

Five principles every build obeys.

  1. I

    Nothing is built without an approved spec.Every feature starts as a machine-readable specification that a human has signed off.

  2. II

    AI proposes. Humans dispose.Every AI-generated artifact passes a human gate before it advances.

  3. III

    Specs live in version control.Requirement specs are authored and committed to GitHub, beside the code they drive.

  4. IV

    Decisions are recorded.Architecture choices are captured as ADRs: durable, searchable, accountable.

  5. V

    Clarify, plan, task, then build. No skipping.Sequential discipline keeps AI speed from turning into rework.

The spec engine

Seven commands turn intent into shipped software.

Scroll to run it. Each step produces an artifact that is committed to version control, and nothing moves on until the step before it is done.

    ~/client-platform · docs/spec/platform/PS-05.md
    ◆ HUMAN GATE

    The framework at a glance

    Three phases. Three human gates. One spec running through all of it.

    The same playbook applies to every product we build, from a first MVP to a multi-module platform.

    AI-assistedHuman-ledAutomated

    Inception define & design

    constitution › specify › clarify › plan › tasks
    Human-led

    Define requirements

    Business epics, requirements and acceptance criteria captured in the orchestrator.

    AI-assisted

    Requirement spec

    Gap analysis, an AI-drafted spec, then clarify Q&A to resolve ambiguity.

    AI-assisted

    Planning & design

    System architecture, API contracts, DB schema and the test plan.

    GATE 1

    Spec & design approval

    Review the AI-generated spec, approve the architecture, sign off the design.

    OUTPUTSApproved spec in docs/spec · ADRs in docs/adr · task breakdown

    Construction build & verify

    analyze › implement (+ checklist)
    AI-assisted

    Code & unit tests

    Generated directly from the approved spec.

    AI-assisted

    Code analysis

    Quality review, security scan, standards and cross-artifact consistency.

    GATE 2

    Peer review

    Engineers review the AI-generated code and approve the pull request.

    AI-assisted

    QA validation

    Execute tests, verify coverage, triage and prioritise defects.

    GATE 3

    QA sign-off

    Quality confirmed against acceptance criteria before release.

    OUTPUTSMerged code · passing test suites · approved pull requests

    Operations release & run

    release › deploy › monitor › feedback
    AI-assisted

    Release management

    Versioning, release notes and controlled promotion across environments.

    Automated

    Deploy, monitor & observe

    CI/CD deployment with health checks, logging and observability.

    Human-led

    Continuous feedback

    Operational learnings loop back to update the specs and the constitution.

    OUTPUTSReleased build · release notes · telemetry · spec updates
    InceptionOperations

    The CodeYukta standard

    Every requirement follows one shape.

    docs/spec/platform/PS-05.mdv0.4 · approved

    PS-05 · Global Search

    Status: ApprovedOwner: ProductSprint 14Est. 5 pts
    TL;DR
    One search box that finds records across every module, filtered by what the signed-in user is allowed to see.
    Goals · Non-goals
    Goal: search active records across modules.
    Non-goal: searching archived data or file contents.
    Requirements
    FR-1 Match on name, ID and reference fields FR-2 Respect role-based permissions NFR-1 Results render within 300 ms (p95)
    Acceptance criteria
    Given a signed-in user When they type 3 or more characters Then matching records they can access are listed
    Dependencies · Open questions
    Depends on PS-02 Roles. Open: should recent searches sync across devices?

    Illustrative sample spec

    • Status headerOwner, sprint and estimate, readable at a glance.
    • TL;DRA one-paragraph summary anyone can read.
    • Goals and non-goalsBounds the work. Non-goals stop scope creep.
    • FR and NFR with IDsNumbered requirements give every test and commit a line back to the spec.
    • Gherkin acceptanceGiven / When / Then, testable by humans and by agents.
    • Dependencies and open questionsWhat it relies on, and what is still being decided.

    Try the spec engine

    Describe a feature. Watch it become a spec.

    Every CodeYukta build starts like this. Write what you want in plain words. The engine shapes it into requirements, acceptance criteria and the questions a person must answer before anything is built.

    $ yukta specify

    Preview built in your browser from the CodeYukta spec template. Real specs are drafted by our agents, clarified with you, and approved at Gate 1.

    ~/your-product · docs/spec/new/PS-37.md
    Make this a real spec →See the Spec Sprint
    A fix is never lost.

    After go-live

    Incidents re-enter the framework.

    Even a production fix is spec-driven, so every correction becomes permanent, tested knowledge.

    1. 1Triage & severityClassify impact and set priority.Human
    2. 2Reproduce & diagnoseAI assists root-cause analysis.AI
    3. 3Capture mini-spec / ADRRecord the change and the decision.AI
    4. 4Fix + regression testsAI generates the fix and its tests.AI
    5. 5Peer reviewThe fix passes a gate.Human
    6. 6QA verify & releaseValidate, then ship.Human
    Emergency hotfixFast-tracked gates for production-critical issues.
    Standard fixRides the next scheduled release.

    The AI–human model

    A clear line between what AI speeds up and what people own.

    AI-assisted

    AI accelerates

    Spec draftingCode generationTest generationCode & security analysisDocumentationRelease notesDiagnostics
    Human-led

    Humans own

    Requirement intentClarificationArchitecture approvalCode & peer reviewQA sign-offEvery gate
    agentsAI coding platformAgents that draft specs and generate code, tests and docs.
    githubGitHub + CopilotRepo, pull requests, code generation and the spec / ADR store.
    spec-kitSpec-kit commandsThe sequential operating spine of every build.
    mission-controlOrchestratorWork tracking and coordination across every build.
    AzureAWSGoogle CloudGitHubCopilotAndroidiOSKotlinSwiftReactNext.jsNode.js.NETPythonPostgreSQLDockerKubernetesTerraformAzureAWSGoogle CloudGitHubCopilotAndroidiOSKotlinSwiftReactNext.jsNode.js.NETPythonPostgreSQLDockerKubernetesTerraform
    7spec-engine commands, run in order
    3human approval gates per release
    5constitutional principles
    3clouds: Azure, AWS and GCP

    What we build

    Products that run your business. Delivered through one framework.

    SaaS · Web

    SaaS platforms

    Multi-tenant products for cloud-hosted business workflows and customer-facing platforms, from first MVP to multi-module suite.

    ◆ AI-SDLCEach module starts as a spec in your repo, so the roadmap stays traceable.
    Azure · AWS · GCP

    Cloud-native delivery

    Architecture, deployment planning and CI/CD built for the cloud you already run on, with observability from day one.

    ◆ AI-SDLCArchitecture choices are recorded as ADRs before a line is deployed.
    Android · iOS

    Mobile applications

    Apps designed for daily, practical use: dependable offline behaviour, fast releases, steady product growth.

    ◆ AI-SDLCGherkin acceptance criteria drive device tests on every build.
    AI · Performance · Cost

    AI integration & optimisation

    Intelligent features inside your product, plus performance tuning and cost-aware architecture that keep it fast and affordable.

    ◆ AI-SDLCNFRs with IDs make speed and cost targets testable, not aspirational.

    Ways to engage

    Start small. Scale once the spec proves it.

    Start here · 2 weeks

    Spec Sprint

    Your idea runs through Inception. You leave with an approved spec, architecture and task plan, ready to build with us or with anyone.

    • Requirement specs in your GitHub
    • Architecture, API contracts and ADRs
    • Effort estimate for every task
    Ends at Gate 1
    Book a Spec Sprint →
    Full framework Ongoing · monthly

    Build Pod

    A dedicated AI-augmented squad of tech lead, engineers and QA, running all three phases on your product, release after release.

    • Agents for code, tests and docs
    • All three human gates on every release
    • Progress traced from spec to production
    Ships through Gates 1–3
    Talk about a pod →
    For existing products

    Modernise

    Bring a legacy app into AI-SDLC. Our agents recover specs from your codebase, so old code becomes documented, tested and safe to change.

    • Specs recovered from existing code
    • A regression suite before any change
    • Migration to Azure, AWS or GCP
    Legacy code → living specs
    Plan a modernisation →
    You own everything we make.

    Every artifact lands in your repository from day one. No lock-in, no black box.

    docs/spec/docs/adr/src/tests/CHANGELOG.md

    Company

    Rooted in Palakkad. Building for everywhere.

    Yukta is Sanskrit for joined, fitting, well-applied. We join AI speed with engineering judgement, and apply both where they fit best.

    LEGAL NAME
    CodeYukta Private Limited
    OFFICE
    28/19, Thirunellayi, Tirunillai, Palakkad, Kerala 678004, India
    GSTIN
    32AALCC0348K1ZQ
    D-U-N-S
    957312107

    Questions buyers ask

    Before you sign anything.

    Something else on your mind? Ask it on a spec call.

    Is AI-generated code safe to run in production?

    Every line passes Gate 2, a peer review by our engineers, and Gate 3, QA sign-off against the acceptance criteria in the spec. AI drafts the work. People approve it before it moves on.

    Who owns the specs, code and decisions?

    You do. Specs, ADRs, code, tests and release notes are committed to your repository from the first day. If you ever change partners, the full history goes with you.

    Can you take over an existing product?

    Yes. The Modernise engagement recovers specs from your current codebase and builds a regression suite first, so every later change is spec-driven and safe.

    How much of our time does it need?

    One person who owns the product intent. They answer clarify questions and approve Gate 1. The agents and our engineers handle the rest, and you can watch progress at any time.

    Which clouds and platforms do you deliver on?

    Azure, AWS and Google Cloud for SaaS and back-end work, and native Android and iOS for mobile.

    How is the work priced?

    A Spec Sprint is fixed scope and fixed price. Build Pods are billed monthly. Because every task is estimated against an approved spec, you see the cost before you commit to the build.

    Book a spec call

    Bring the intent. We'll bring the spec.

    Book a 30-minute spec call. Bring one feature idea, and we'll show you how it becomes a spec, a plan and a first release.

    Business enquiriesProjects, partnerships and spec calls
    enquiries@codeyukta.com

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