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    SoftwareEngineering

    Software that ships itself. Monitors itself. Challenges itself.

    We build the operating system behind your software engineering team.

    What We Build

    Agentic Engineering

    The building blocks: app foundations, delivery infrastructure, production visibility, and decision rigor. Each one designed to compound with use.

    Ready for Agentic Engineering?

    Book a strategy call and we'll map out what agentic engineering looks like for your team.

    See How We'd Approach Your Stack

    Agents That Work Alongside You

    Not chatbots. Dedicated AI teammates with their own identity, hardware, and scoped access — running 24/7 as part of your engineering team.

    Own Identity

    Company email, GitHub account, Apple ID. Onboarded like a real employee — with its own credentials, 2FA, and audit trail.

    Dedicated Hardware

    Runs 24/7 on its own Mac mini. Not a browser tab — a teammate that's always on, always working.

    Scoped Access

    Read-only AWS, PR-based code changes, no destructive permissions. Your agent can plan but can't break things.

    Persistent Memory

    Learns how you work across sessions. Research, decisions, and context carry over — it gets better the longer it runs.

    Set Up Your AI Teammate

    What Clients Say

    The work speaks for itself.

    "Sanjeev is one of the best platform engineers I've worked with."

    M
    Mrinal Wadhwa
    CTO, Ockam

    "Sanjeev is one of the best platform engineers I've worked with - in over 25 years of being part of and building teams of engineers. He played a pivotal role in designing the infrastructure of Ockam's cross cloud products - Ockam Orchestrator and our Platform-as-a-Service for AI. He designed the infra and many of the processes we use to ensure best-in-class SLAs for security, uptime, and performance."

    M

    Mrinal Wadhwa

    CTOOckam

    The Compounding Loop

    Every cycle makes the next one smarter.

    Plan

    Decide what to build and why

    Code

    Build, test, deploy

    Measure

    Real production signal

    Learn

    Feed lessons back

    repeats
    Every cycle compounds

    This is not a process diagram. It is the operating system.

    Tools We Work With

    The stack behind our infrastructure and product engineering work.

    AI & Agents

    ClaudeOpenAI / CodexGeminiOpenClaw

    Software Engineering

    Next.jsTypeScriptReactTailwindNext.js Boilerplate

    Cloud

    AWSAzureGCP

    Containers

    DockerKubernetesHelm

    IaC & Config

    TerraformAnsible

    CI/CD

    GitHub ActionsJenkinsGitLabPlaywright

    Observability

    PrometheusGrafana

    Data

    Databricks

    Curious About Your Cloud Spend?

    Most teams overspend by 20-40% on AWS. Get a free cost assessment with TrimCloud—it takes minutes.

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    Real-World Impact

    How we've helped clients solve real infrastructure problems.

    Agentic Engineering

    PokerInk: Agentic Workflow Running in Production

    Problem

    A fast-moving product needed tighter feedback loops between code, deploys, and production behavior.

    Solution

    We run push-to-main delivery with automated checks, daily monitoring, and explicit challenge before major decisions. The workflow is live and evolving in real time.

    Results

    We now have a repeatable operating rhythm: faster iteration, clearer ownership, and fewer blind spots between release and real user behavior.

    Active
    status
    Daily
    cadence
    Iterative
    mode
    Live operating proof
    Read Case Study

    Ready to Ship Faster?

    Let's build infrastructure that accelerates your team.

    Get a Free Infrastructure Review
    FAQ

    Questions
    Answered

    Don't see your question? Reach out — we're happy to talk through what Agentic Engineering looks like for your team.

    Get in Touch
    Agentic Engineering combines three capabilities: push-to-main delivery with strong automated checks, production agents that monitor and respond to issues, and multi-model challenge where a second model reviews plans before execution. It does not replace your team. It gives your engineers a tighter operating system so they can ship with less rework.
    Usually yes if you already ship software and want to reduce cycle time without lowering quality. We work best with teams that can commit engineering time, adopt operating conventions, and measure outcomes. If your current bottleneck is product strategy or hiring capacity, we will say that early.
    Most teams start seeing workflow changes in the first few weeks. Full rollout depends on your architecture, compliance needs, and how many systems we need to integrate. We define phases up front so you can see what lands first and what comes next.
    No. We usually layer Agentic Engineering practices onto your existing stack. We keep what is working, tighten the weak points, and avoid unnecessary migration risk. If a core piece is holding you back, we will recommend a staged change rather than a rewrite.
    We treat these as design constraints, not cleanup work. That includes scoped access for agents, audit trails, environment controls, and review gates around sensitive actions. We align controls to your current requirements and roadmap so delivery speed does not come at the expense of governance.
    We define success metrics before rollout: lead time, deployment frequency, change failure rate, incident recovery time, and engineering hours spent on repeat work. Then we track baseline versus post-implementation so you can see what improved and what still needs work.

    Ready to Get Started?

    Book a strategy call to discuss your toughest technical challenges and define outcomes your team can measure.

    Get in Touch

    Email

    Reach us directly

    support@accelra.io

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