what it genuinely nailsCody's superpower is context, not control.
Most AI assistants hallucinate because they only see the file you have open. Cody is different: it sits on Sourcegraph's code-search index and retrieves relevant symbols, APIs and usage patterns from across your repositories — Enterprise can pull from up to ten repos at once and a context window into the millions of tokens. Ask it 'who calls this API' before you change it and it actually knows. For understanding a large, unfamiliar codebase, that retrieval layer is genuinely best-in-class, and it's why big engineering orgs adopt it.
- RAG over Sourcegraph search → relevant cross-repo context, not just the open file.
- Multi-repo awareness shines on microservices and monorepos.
- Admin-chosen models (Claude, GPT, Gemini), context filters to keep sensitive code off third-party LLMs, SOC 2.
the line it doesn't crossIt answers when asked. It doesn't gate every change.
Here's the structural limit, and reviewers keep landing on it: Cody is a knowledgeable collaborator you query, not an automatic quality gate that runs on every pull request. It produces deeper, more codebase-aware answers when a human prompts it — but a human still has to ask, read the answer, and decide. On large diffs its responses can truncate around a couple hundred lines, so review becomes 'continue… continue…'. Nothing in the loop deterministically blocks a change that fails lint, breaks types, drops test coverage or leaks a secret. The judgement, and the liability, stay with you.
- Assist is pull-based: it's only as good as the question a human remembers to ask.
- No deterministic gate — Cody advises, it doesn't refuse to let bad code through.
- On big PRs, truncation interrupts exactly the review you needed it for.
why this matters nowVibe coding made the missing gate the whole problem.
When anyone can describe software to a model and get a working-looking diff in seconds, the bottleneck stops being generation and becomes trust. In a real company that's where it gets ugly: code nobody reviewed properly, abstractions nobody chose, 'why is the pipeline red', security holes shipped at the speed of autocomplete. A faster, smarter assistant accelerates output on both sides of that line — the good changes and the unmaintainable ones. Helping a human write code quicker is necessary but not sufficient. The thing enterprises actually lack is a structure that verifies every change the same way, every time, before it reaches users.
- Generation got cheap; relentless, consistent verification didn't.
- An assistant speeds up output; it doesn't guarantee what lands is safe.
- The risk isn't a bad model — it's no governed path from prompt to production.
the methodThe Digital Native Method: intent in, verified result out.
There's a way to keep the speed without the mess, and it's a method before it's a tool. A Product Owner describes the intention directly on the live product — this is broken, this should feel faster, add this. A Tech Lead encodes the rules once: architecture, conventions, your company's security and compliance bar. Then AI agents implement inside those rules, and deterministic gates — lint, types, tests, security scan — run on every change automatically, not when someone remembers to ask. Only green changes move forward, and everything flows through your own GitHub. Cody can absolutely live inside this world as the agents' retrieval brain; what it doesn't supply on its own is the gate and the governed path.
- Describe outcomes on the live product — no ticket full of specs.
- Encode standards once; every agent boots inside them.
- Gates run on every change before prod — green or it doesn't land.
the softwareAgentation is the structure that turns the method real.
A method on a slide changes nothing. Agentation is the software that enforces it: a per-project Tech Lead that holds your encoded rules, agents that deliver work into git worktrees, and gates (lint, types, tests, security, lock-file and secrets scans) that must pass before anything is offered for review. So 'I never read the diff' doesn't mean nobody checks it — it means a structure checks it, on every change, instead of a human catching some of them some of the time. Where Cody hands a developer a smarter answer, Agentation hands the owner a verified result, already gated, in their own GitHub.
- Per-project Tech Lead enforces your standards on every agent.
- Deterministic gates before review — zero-token, non-negotiable.
- Ships through your GitHub on your existing AI plan; we never store your code.
cocorico — souverainetéA French team, and sovereignty where it's actually winnable.
Agentation is built by a French team, and we're honest about what sovereignty can and can't mean today. Nobody in Europe is going to be sovereign on the frontier models — Claude, GPT and the rest are American. But the orchestration layer that turns those models into shipped, governed software? That's the larger part of the value, because with raw models alone you don't do much. That layer can be European, and ours is: hosting in the EU (Hetzner, Germany), data in the EU (Supabase), your code staying in your own GitHub, GDPR by construction. Cody's enterprise security and context filters are real and welcome — but the tooling that orchestrates the model is exactly where a European alternative belongs.
- French team; EU hosting (Hetzner) and EU data (Supabase).
- Sovereign on the orchestration tooling, not pretending to be on the models.
- Your code stays in your GitHub — GDPR by design, no training on it.
FAQDoes Sourcegraph Cody do code review automatically on every pull request?
Not as a gate. Cody is a context-aware assistant you query — it gives excellent, codebase-aware answers when a human asks it to look at a change. It doesn't run automatically on every PR and deterministically block changes that fail lint, types, tests or security. That automatic, every-change verification is what a governed shipping structure like Agentation adds on top.
Is Cody's context awareness actually better than other assistants?
For large, multi-repo codebases, yes — that's its real strength. Cody retrieves relevant context from across your repositories via Sourcegraph's search index instead of only seeing your open file, so it hallucinates less on big codebases. The limit isn't the context; it's that great context still produces advice, not a guaranteed-safe change in production.
How much does Sourcegraph Cody cost?
Since Sourcegraph discontinued the Free and Pro tiers in 2025, Cody is Enterprise-only — around $59 per user per month on an annual contract — which prices out individuals and small teams. Agentation is aimed at the person who owns the product describing outcomes, not at seat-priced developer tooling.
Can I use Cody and Agentation together?
Conceptually they sit at different layers. Cody is a retrieval-and-assist brain for developers; Agentation is the Tech Lead plus gates that govern what actually ships. The assistant makes agents smarter about your code; the structure makes sure nothing reaches production without passing the same deterministic checks every time.
Why does a French / EU angle matter for a code tool?
Because you can't be sovereign on the model, but you can be sovereign on the tooling that orchestrates it — and that orchestration is where most of the value and most of your code's exposure live. Agentation is built by a French team, hosts in the EU (Hetzner), keeps data in the EU (Supabase), leaves your code in your own GitHub, and is GDPR by construction.