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Mission control for AI engineering

The mid-market enterprise choice for driving AI adoption, performance, and ROI from real work. Grab the controls now.

Stop watching your organization, run it

Speed up your SDLC with performance tools:

  • Unblock people before they lose the day — raise the limit, send the check-in, one click.
  • Test what moves the needle — raise a token limit and measure the output lift against that dev's 30-day baseline, with team-wide acceleration subtracted out. Real ROI or diminishing returns, in plain numbers.
  • Double down on clear results — +150% throughput gets more tokens. Flat deltas get rolled back.
ActivitySessionsAdoptionFinance
AI sessions across the team
2 weeks agotoday
41sessions today
$118AI spend today
9PRs merged · 7d
Needs you today one click each
Sarah decelerating — 2 slow weeksCheck in
Jake accelerating — 3× outputSend kudos
Tom hit his agent limitApprove +50%
Test results 30-day baselines
Jake +50% tokens+150% throughput
Priciest model for everyone+38% cost, no gain
Mike's upgrade, still testing18 days left
One lesson, cross-pollinated
captured Monday · injected Thursday
Mon 9:14a
John Anderson hits a wallLambda packaging breaks the deploy. He burns 40 minutes digging out.
Mon 1:26p
Codiedev captures the lessonMined from his session automatically. Baseline on record: 40 minutes.
Thu 10:02a
Brittney heads for the same wallHer session touches the same repo and pattern. Codiedev sees it coming.
Thu 10:02a
Injected before impactShe starts with John's fix already loaded.40 min → skipped×136 lessons a week, org-wide

Turbocharge your SDLC in 30 days

Two engines speed it up in the background:

  • Skill-creation agent mines your sessions for winning patterns, shadow-tests them, canaries them with the devs who'd use them — and promotes only what ships.
  • Knowledge injection mines every session for learnings, detects when the next dev is about to hit the same wall, and injects the lesson before they do — closing the knowledge-omission loop and maximizing your ROI per employee.
Case study — mid-market enterprise: across 477 real sessions, ≈$750 saved every week at $38/hr employee cost.

Every engineer gets a personalized coach

Session efficiency, model mix, tokens per merged PR — each dev sees where they stand on their team, and the next move to climb. Every benchmark is anchored to shipped work: the only way to game the number is to ship better.

How you're tracking
Top 25%▲session efficiency on your team
youteam
Tokens per PR1.8×
Sessions per PR▼ 31%
Opus on routine work2×
Coach: try the mid-size model on refactors Why →

Never get blindsided by an AI bill again

No more backing into a surprise invoice — see it coming, know exactly why, and fund what performs.

See it coming
Run-rate projection · this month
Flagged on day 12.
Know exactly why
58% capitalizable · 42% opex, auto-classified
New features40%Enhancements18%Bug fixes26%Support & investigation16%
Classified per session, audit trail included.
Fund vs. cut
Spend mapped to results
Jake's token upgradefund · +150%
Skill injectionfund · $750/wk back
3 idle seatsdowngrade · $210/mo
Upgrade that didn't deliverrolled back · $3,900/mo
Fund what compounds. Cut what coasts.

Expand and drive the whole company.

Get the same visibility and the same controls for every department — from finance to marketing to ops.

  • See what they're making — briefs, decks, models, and runbooks, tagged by department in one place.
  • Read the weekly Codie Report — plain-English summaries of what each team did with its tokens, and whether it's working.
  • Run them the same way — raise limits, approve tokens, send check-ins. Same one-click moves, any department.

Connect in minutes.
No “hygiene required.”

Sessions are self-describing ground truth — no consultants, no months-long rollout, no begging devs to keep tickets tidy. The numbers are right on day one.

Codiedevsessions are the ground truth
Day 1
Connected
Sessions flowing the same day.
Week 1
First insight report
Org-level observations, with citations.
Month 1
Compounding
Skills and context feeding back into every session.
Typical metadata platformnumbers depend on ticket hygiene
Month 1
Implementation
Month 3
Ticket-hygiene cleanup
Month 6
First trusted report
Works with the tools your team already uses.
GitHubGitLabJiraLinearClaude CodeCodexGeminiClaude Cowork

Simple pricing. No surprises.

Starter
$125 / seat / month
Developers and Cowork users alike.
  • Full session capture and understanding
  • Org-level insights and skills cloud
  • Cost and ROI reporting
Enterprise
Custom
For larger orgs and stricter requirements.
  • Everything in Starter
  • SSO / SAML and advanced role-based access
  • Custom retention and redaction policies
See full pricing →

Grab the controls today

In 20 minutes, we'll show you the record of AI work no other platform can produce, and how it compounds.