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Approach

We work alongside your team on software that matters.

CodeLantern is a software engineering consultancy for agentic development. We meet organizations where they are, then work alongside their teams with the senior judgment, structure, and shared knowledge needed to move real software forward.

One working team

Your team

Goals, codebase, context, and constraints

CodeLantern

Senior judgment, our method, and mentorship

People and agents working from the same intent

  • Working software

  • Reviewable knowledge

  • Growing capability

How we partner

Embedded expertise, shaped around your team.

Every organization starts from a different place. We begin with your goals, systems, constraints, and level of agentic experience, then join the work rather than advising from the sidelines. Our role adapts as the team’s capability grows.

  • Meet you where you are

    Real software gives the partnership a shared objective and reveals what the team, workflow, and operating environment actually need.

  • Work as one team

    Our senior engineers embed alongside the people who know the systems, connecting advice directly to delivery and consequential decisions.

  • Fit your environment

    We work through your repositories, tools, controls, and governance instead of asking the organization to adopt a separate way of operating.

  • Build capability as we deliver

    We act as hands-on mentors for agentic development, making decisions, practices, and relevant knowledge visible so your team can carry the work forward.

Senior judgment, close to the work

More agent output puts more weight on senior judgment.

As agents take on more mechanical work, senior technical judgment becomes more important. People still define intent, choose the architecture, review the changes, and remain accountable for what reaches production.

CodeLantern’s team brings that judgment. Our senior engineers have spent decades building mission-critical software. We put that experience around a human-steered agentic delivery workflow so speed compounds with understanding instead of outrunning it.

Our method within the partnership

Our six-phase methodology connects intent, delivery, and system understanding.

Our structured methodology is core to how we partner with clients on agentic software delivery. It focuses on small, reviewable increments, keeping human decisions explicit while agents handle more implementation work.

This methodology is codified in the CodeLantern Platform, so teams can put it into practice in days, not spend weeks or months building their own delivery system.

Explore the Platform

  1. Define

    Responsibility

    Make the work, constraints, and success criteria explicit before delivery begins.

    Work artifact

    A spec with testable acceptance criteria

  2. Design

    Responsibility

    Choose the technical approach, expose the trade-offs, and resolve the consequential unknowns.

    Work artifact

    A solution design

  3. Plan

    Responsibility

    Break the design into reviewable phases with named tests, files, risks, and quality gates.

    Work artifact

    An approved implementation plan

  4. Implement

    Responsibility

    Build in small, tested increments while preserving a readable record of how the work changed.

    Work artifact

    Code and tests, with a session log

  5. Review

    Responsibility

    Check correctness, structure, security, accessibility, and the original intent before release.

    Work artifact

    A reviewed pull request

  6. Consolidate

    Responsibility

    Record what future engineers and agents should know after the delivery work is complete.

    Work artifact

    Durable project knowledge for engineers and agents

How our method works in practice

Our method works inside the tools your team already uses.

Our method works through your existing repositories, project-management systems, review processes, CI, and governance. CodeLantern adds a governed agentic workflow without asking the organization to abandon the systems that already carry its work and controls.

At the center of our methodology is a learning loop. As each increment is delivered, we capture the decisions, conventions, reusable procedures, and hard-won lessons that code cannot express on its own. We store it in a shared Knowledge Base the team can review, so people and agents begin the next ticket with relevant context instead of starting cold.

The learning loop

Each delivery raises the starting point for the next.

  1. 01

    Start with context

    Intent, constraints, and relevant codebase knowledge frame the ticket.

  2. 02

    Deliver and review

    People and agents produce code, tests, decisions, and a reviewable work record.

  3. 03

    Consolidate what code cannot say

    Our method distills new conventions, procedures, and hard-won lessons.

  4. 04

    Store relevant knowledge

    Team-reviewed knowledge becomes relevant context for the next ticket.

Higher starting point

Humans and agents begin with shared context.

The Knowledge Base stores project knowledge the team can review and maintain.

This methodology is codified in the CodeLantern Platform, connecting the workflow, knowledge, and delivery evidence across the tools your team already uses.

Operating guardrails

  • Safety

    Agents work inside explicit permissions, review gates, and release controls.

  • Transparency

    People can see what changed, why it changed, and who or what acted.

  • Traceability

    Issues, decisions, code, reviews, and work records stay connected.

  • Maintainability

    The team keeps understanding the system it is responsible for.

Where we can help

Bring the right expertise into the work.

Our approach applies across the agentic software development lifecycle, from strategy and operating model through agent systems engineering, software delivery, testing, and DevOps.

Explore our capabilities

Put our approach to work

Bring us the work in front of you.

A four-week Spark puts our approach to work with one team on real software. If consulting is a better fit, we’ll recommend it. See how to Get Started.

  • A conversation with a senior engineer
  • An honest assessment of fit
  • A practical recommendation for what comes next
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