Coding agent development companies

A coding agent is an AI program that works on a company's code. It reads a task or a bug report, finds the files that matter, changes them, runs the tests and proposes the change for an engineer to review. Claude Code, made by Anthropic, and Codex, made by OpenAI, are two coding agents named on the firms' pages. The firms on this page offer to set up agents like these for a client's own engineering team, write the rules the agents follow, and train the engineers to use them.

Anthropic lists a coding agent among the examples in its own guide, "Building effective agents": "A coding Agent to resolve SWE-bench tasks, which involve edits to many files based on a task description." [1] SWE-bench is the name of a public test, and the quote describes its tasks. OpenAI's guide says that when an agent cannot finish a task, "For a coding agent, this means handing control back to the user." [2] Both are the model makers' own words. Together they describe the work a buyer is paying for: an agent that changes many files, and a clear point where it stops and an engineer takes over.

Reveneau and Fluxon

Reveneau says AI writes 100 percent of its own code. It says every change must pass a large eval suite before it is released. An eval suite is a set of automated tests, and Reveneau says its suite is written from the specification, the document that sets out what the software must do. Reveneau says Jev, the model that grades the suite, makes it run ten times faster than its previous grader. It says it uses AI in place of hiring more engineers and puts that saving into the prices clients pay, and that it takes responsibility for the whole project through production, the live system people use, and after release. Reveneau offers a service for AI development, and it also has a service page on AI coding tools a team runs on its own machines. Its offices are in San Francisco and Vancouver, and Anthropic's partner directory had no Reveneau entry when its 321 entries were searched on 20 October 2026. That directory is Anthropic's list of service firms that work with its Claude models, and Anthropic gives most of them a tier: Global Premier, Preferred or Select.

Fluxon's AI development page lists "Agents & multi-agent systems", systems in which several agents pass work between them, among the things it builds [3]. None of the Fluxon pages read for this guide describes an offer to set up coding agents for a client's engineers, and Anthropic's directory had no Fluxon entry on 21 October 2026.

The nine firms at a glance

Firm	What it offers a client's engineers	Where a person signs off, by its own pages	Figure it publishes, its own
Thinkia	A governed method for code written by AI	Not stated on the pages read	Engineer time on checking code from 20% to 50%
Lazer Technologies	Agents for testing, builds and release checks	Not stated on the pages read	None found
Cay Digital	Engineering work rebuilt around coding agents	"a person approves it, and nothing merges on its own"	A sprint of features "built in a single day"
Zemoso Labs	A method with set levels of agent freedom	"A person approves every phase" at one level	None found
AscentCore	Claude Code agents inside the client's build system	Product plan, build plan, merge, release decision	"90% reduction in time to produce test suites"
Diverger	Agents that move old systems; a method for client teams	"the Diverger team supervises, validates, and corrects"	"Reflection Rate >40% by month 3"
HAVIT	One-day and longer developer workshops	Its developers review every change, in the Broker Trust case	4 pull requests, 3 released, in one case
Bounteous	Claude Code workshops	Not stated on the pages read	None found
First Line Software	An 8 to 12 week program inside the client team	Not stated on the pages read	"30% More Features Per Cycle" for Fooda

The firms

Thinkia. Its Enterprise AI-SDLC page describes a method in which a project's rules and earlier decisions are written into files the coding agents read at each stage [4]. It names the problem it means to solve: "Without a Context Package, AI agents lose the intent, constraints, and decisions made in every previous phase." The same page says, "Engineer time shifts from writing code to validating it, increasing from 20% to 50% of their time." That figure names no client and no method. Anthropic lists Thinkia at the Select tier.

Lazer Technologies. Its AI page lists "Engineering workflow automation (QA, CI/CD, release gating)" [5]. QA is quality testing. CI/CD is the system that builds, tests and releases code each time an engineer changes it, and release gating means a check that must pass before a release goes out. Lazer says it places senior engineers inside client teams. Outside Anthropic's Select tier, these facts come from Lazer's own pages.

Cay Digital. Its engineering page says, "we build production software for you with an AI-native team, or we rebuild your engineering team's delivery around coding agents." [6] It describes the review step: "Independent judges grade the work first. Then a person approves it, and nothing merges on its own." To merge is to add a change to the main code. The page does not say whether the judges are people or AI models, so ask. Its homepage reports, for an unnamed "Global professional services firm", "Features scoped for a full sprint, built in a single day. We trained 100 developers on the pipeline that does it." A pipeline, here, is an automated chain of build and test steps. A sprint is a fixed block of time a team plans its work in. That is Cay Digital's own account of an unnamed client. Outside Anthropic's Select tier, these facts come from Cay Digital's own pages.

Zemoso Labs. Its FINE engineering page sets different levels of agent freedom for different kinds of project [7]. For regulated core systems, it says, "Agents draft plans, code and tests. A person approves every phase while context is captured." For prototypes and internal tools, "Background agents build and iterate. People review outcomes against clear acceptance criteria." Acceptance criteria are the written tests a result must pass before it is accepted. Outside Anthropic's Select tier, these facts come from Zemoso's own pages.

AscentCore. Its homepage says, "AscentCore embeds AI agents across the software development lifecycle", and offers "Headless Claude Code agents in your CI pipelines" with "Human sign-off at PRD, implementation plan, merge and go/no-go" [8]. Headless means the agent runs with no screen, inside the system that builds and tests code. A PRD is a product requirements document, the plan for what to build. Go/no-go is the decision to release or wait. It also sells Insights HUB, "One governed place to register, share and run the Claude Code tools, skills and MCP connectors your teams build". MCP is a standard way to connect an AI model to a company's tools. Its homepage claims a "90% reduction in time to produce test suites", and a 60 to 70 percent faster time to a first working version, both its own figures, with no client or measurement shown for either. Outside Anthropic's Select tier, these facts come from AscentCore's own pages.

Diverger. Its ZeroLegacy page says, "Agents execute the migration layer by layer while the Diverger team supervises, validates, and corrects." [9] A migration here means moving an old system, such as one written in COBOL, PL/SQL or VB6, to a modern design. Its homepage says it keeps "100% functional parity", which is its own claim that the new system does everything the old one did. For a client's own engineers, its Exponential Programming method offers a "Skill catalog for every layer of the project", which the page says is built "with your conventions, your patterns, your real code". A skill, as the page uses the word, is a written set of a project's rules and patterns that the AI follows when it writes code. That page also gives "Reflection Rate >40% by month 3", its own figure for a step in which the agent plans new tasks by looking at how earlier ones were solved. The page does not define how the rate is counted. Anthropic lists Diverger at the Select tier.

HAVIT. Its developer onboarding page offers the AI Developer Onboarding Workshop, "1 day · on-site · your office From €3 900 · excl. VAT", for "4 to 8 developers from one team" [10]. VAT is the EU sales tax. The page describes agents that "safely read tickets, run tests, open PRs" inside the client's systems; a PR, or pull request, is a proposed code change that waits for review. HAVIT's own blog describes work for Broker Trust, where product owners, the staff who decide what a product should do, used Claude Code on the client's code. It reports, for "the first two months of production use", "4 pull requests authored by a Broker Trust product owner; 3 reviewed, merged, and deployed to production", and says, "Every change still goes through review by HAVIT's developers before it reaches production" [11]. Four pull requests over two months is a small sample, and the figures are HAVIT's own. The Czech ARES register confirms the company, HAVIT, s.r.o., in Prague. Anthropic lists HAVIT at the Select tier.

Bounteous. Its Anthropic partner page says, "As a Launch Preferred Partner, Bounteous hosts Claude Code Workshops around the world" [12]. No published result for coding agent work was found on the pages read. Outside Anthropic's Preferred tier, these facts come from Bounteous' own pages.

First Line Software. Its agentic software page is written to a team whose engineers have Claude Code or Codex and no shared way of working with them yet. It offers to embed with a client's teams for 8 to 12 weeks, "install one agentic coding standard built on RACE Programming, and hand back the numbers that show what changed" [13]. Its Fooda case says, "The joint Fooda and First Line Software engineering team adopted Claude Code across the full software development lifecycle." The case is titled "How Fooda's Engineering Team Delivers 30% More Features Per Cycle Using Claude" [14]. On that page the result line puts a "~" sign in front of the 30%, and the work ran as a "6-month trial". The figure is First Line Software's own. Outside Anthropic's Select tier, these facts come from First Line Software's own pages.

What to measure before coding agents start

Each speed figure above was published by the firm that did the work, and none says what it was measured against. Before any firm starts, write down your own numbers for one month: how many changes your team releases, how long a change waits for review, how many changes are undone after release, and how many tests fail. Ask the firm to report the same four numbers at the end of its program. First Line Software's own offer promises to "hand back the numbers that show what changed", and every firm should be able to say which numbers those are.

Ask each firm where a person must approve the agent's work. AscentCore names four points. Zemoso names a different level for each type of project. Cay Digital says nothing merges on its own. Put the points you agree on into the contract. For a wider view of testing, read how to test an AI agent before you buy and the AI agent evals guide.